Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Built Environ., 12 December 2025

Sec. Earthquake Engineering

Volume 11 - 2025 | https://doi.org/10.3389/fbuil.2025.1689930

This article is part of the Research TopicBehavior of Buildings under Seismic SequencesView all 4 articles

Critical response of reinforced concrete moment-resisting frames with steel damper columns subjected to sequences of two pulse-like ground motions

  • Department of Architecture, Faculty of Creative Engineering, Chiba Institute of Technology, Narashino, Chiba, Japan

A reinforced concrete (RC) moment-resisting frame (MRF) with steel damper columns (SDCs) can be considered a damage-tolerant structure. The behavior of such a structure depends on the strength balance of the RC MRF and SDCs, and the pinching behavior of RC members. In this article, the seismic behavior of an RC MRF with SDCs under pulse-like ground motion sequences is investigated by applying an extended incremental critical pseudo-multi-impulse analysis (ICPMIA). This article consists of two analytical studies. The first analytical study focuses on (a) the degradation in energy dissipation of an RC MRF with SDCs and (b) the increase in response period due to prior earthquake damage. An extended ICPMIA of RC MRF models is carried out. The second study focuses on the influence of the pulse period of pulse-like ground motion sequences on the response of RC MRFs with SDCs. The main findings are as follows. (1) When the pulse velocities of the two multi impulses (MIs) are the same in sequential MIs, the peak displacement is larger than that of a single MI if the first and second MI have the same sign. This trend is notable when the SDC strength is relatively low, and the pinching behavior of RC beam is significant. (2) The degradation in energy dissipation of an RC MRF in the second input is notable when the pinching behavior of RC beams is significant and the SDC strength is relatively low, whereas such degradation is limited when the SDC strength is relatively high. (3) The increase in RC MRF response period in the second input is notable when the pinching behavior of RC beam is significant. (4) For nonlinear time history analysis (NTHA) using sequential ground pulses, the most critical period of the second pulse is longer than that of a single pulse. (5) The most critical response obtained from NTHA for the pulses in (4) can be approximated by the extended ICPMIA results.

1 Introduction

1.1 Background and motivations

Strong earthquakes, which cause moderate to severe damage to building structures, often occur as a series of earthquake sequences, not as a single event. In past major seismic events such as the 2011 off the Pacific coast of Tohoku Earthquake in Japan, the 2016 Kumamoto Earthquake in Japan, and the 2023 Kaharamanmaraş Earthquake in Turkey, strong aftershocks occurred following the mainshock, forming foreshock–mainshock sequences. In addition, a pair of seismic events closely spaced in time and location (doublet earthquakes) occurred in northwest Iran in August 2012 (Yaghmaei-Sabegh, 2014). Therefore, the nonlinear response of a building structure subjected to an earthquake sequence is important. It is very important to mention that the interval between two severe seismic events (e.g., the mainshock and the major aftershock) may be very short (a few hours or a few days). Therefore, the restoration of damaged structural members cannot be completed before the next strong seismic event. In a reinforced concrete (RC) moment-resisting frame (MRF), the cracking of concrete, yielding of reinforcement, and deterioration of concrete-steel bonding will cause the stiffness and strength degrading. Such degradation causes an increase in the natural period and deterioration in energy dissipation capacity of the whole structure. Therefore, the nonlinear characteristics of a damaged RC MRF are different from those of a non-damaged one.

The steel damper column (SDC) (Katayama et al., 2000) is an energy-dissipating device (damper) suitable for mid- and high-rise RC housing buildings. An RC MRF with SDCs can be considered a damage-tolerant structure (Wada et al., 2000). During the strong seismic event, SDCs absorb seismic energy prior to RC beams and columns. Therefore, such structures are expected to minimize unfavorable changes in structural characteristics of buildings due to the accumulated damage during the earthquake sequences. In a previous study (Fujii, 2025a), the author investigated the nonlinear seismic response of an eight-story RC MRF with SDCs subjected to the recorded ground motion sequences of the 2016 Kumamoto earthquakes. In this study, critical pseudo-multi impulse (PMI) analyses (Akehashi and Takewaki, 2022a) were extended as a substitute for sequential seismic input. The predicted peak and cumulative response of RC MRFs with SDCs agreed with those of nonlinear time history analysis (NTHA). However, to understand the basic behavior of RC MRFs with SDCs subjected to a sequential seismic input, the following questions still need to be solved:

a. How will the behavior of such a structure under earthquake sequences change as the strength balance of the RC MRF and SDCs changes?

b. How is the hysteretic dissipated energy of a damaged RC MRF with SDCs different from that of a non-damaged RC MRF with SDCs? How will the hysteretic dissipated energy of SDCs change owing to the prior damage to surrounding RC beams?

c. The natural period of a damaged RC MRF is longer than that of a non-damaged RC MRF (e.g., Di Sarno and Amiri, 2019). How will the increase in the natural period of a damaged RC MRF with SDCs change as the strength balance of this structure changes? How will the pinching behavior of RC beam affect the increase in the natural period of a damaged RC MRF with SDCs?

This study focuses on the nonlinear behavior of an RC MRF with SDCs under a pulse-like ground motion sequence.

The responses of structures under pulse-like ground motions have been widely investigated, especially after the 1994 Northridge and 1995 Kobe earthquakes. Alavi and Krawinkler (2000) and Alavi and Krawinkler (2004) investigated the response of generalized steel MRF models using a rectangular-pulse wave model. Mavroeidis et al. (2004) investigated the response of elastic and inelastic single-degree-of-freedom (SDOF) systems subjected to near-fault ground motions using the velocity pulse model proposed in their previous study (Mavroeidis and Papageorgiou, 2003). They pointed out that using the pulse period (Tp) and amplitude (A) “effectively normalized the elastic and inelastic response spectra of SDOF systems subjected to actual near-fault records.” Xu et al. (2007) considered the response of an SDOF model with nonlinear viscous and hysteretic dampers subjected to the velocity pulse model. According to the analysis of near-fault ground motion records, Baker (2007) proposed a method to extract the largest velocity pulse from a given recorded ground motions. Then, Shahi and Baker (2014) extended this method for the multicomponent ground motions. They also pointed out that the pulse period (Tp) becomes longer when the moment magnitude of the event (MW) is large, which is consistent with the results by Mavroeidis and Papageorgiou (2003).

These studies emphasized that the ratio of the pulse period (Tp) to the fundamental structure period (T) is a key parameter for the response of a building subject to pulse-like ground motions. As mentioned above, the fundamental period of a damaged RC structure becomes longer owing to the damage caused by previous seismic events. Therefore, the relation between the pulse period and the fundamental period of a damaged RC structure is important for studying the response of such a structure to an earthquake sequence.

The nonlinear response of building structures subjected to seismic sequences has been studied by many researchers (e.g., Mahin, 1980; Amadio et al., 2003; Hatzigeorgiou and Beskos, 2009; Hatzigeorgiou and Liolios, 2010; Ruiz-García and Negrete-Manriquez, 2011). After the 2011 off the Pacific coast of Tohoku Earthquake in Japan, the number of studies has been increasing (e.g., Ruiz-García, 2012; Di Sarno, 2013; Ruiz-García, 2013; Abdelnaby, and Elnashai, 2014; Yaghmaei-Sabegh and Ruiz-García, 2016; Abdelnaby, 2016; Di Sarno and Amiri, 2019; Yang et al., 2019). Some of them used as-recorded earthquake sequences as the seismic input for NTHA (e.g., Mahin, 1980; Hatzigeorgiou and Liolios, 2010; Ruiz-García and Negrete-Manriquez, 2011; Abdelnaby, and Elnashai, 2014; Abdelnaby, 2016), while the others used artificial earthquake sequences. To model earthquake sequences, repeated approach (applying the same ground motion several times) has been applied by Amadio et al. (2003), Hatzigeorgiou and Beskos (2009). While in the other studies, randomized approach (applying the ground motion sequences from the randomly chosen ground acceleration) have been applied for the analysis, as an alternative of repeated approach (e.g., Hatzigeorgiou, 2010a; Hatzigeorgiou, 2010b; Hatzigeorgiou and Liolios, 2010). Ruiz-García and Negrete-Manriquez (2011) pointed out that the repeated approach would not be suitable to model the ground motion sequences, because the frequency characteristics of recorded aftershock are weakly corelated with that of mainshock. In addition, they concluded that “as-recorded aftershocks do not significantly increase peak and permanent drift of existing steel frames”, unlike the artificial seismic sequences (repeated approach). Similarly, Yaghmaei-Sabegh and Ruiz-García (2016) pointed out that, from the analysis results of doublet earthquakes that occurred in northwest Iran in August 2012, the frequency characteristics of the second recorded mainshock in doublet earthquake is different from that corresponding to the first recorded mainshock.

One of the reasons for applying the repeated approach to model the seismic sequences is to avoid the complexity of ground motion characteristics, as mentioned by Amadio et al. (2003). Applying the real ground motion sequences or artificial ground motion sequences following randomized approaches would be more complex to understand the nonlinear response of structures under earthquake sequences. However, because the frequency characteristics of the second earthquake (the recorded aftershock in case of mainshock-aftershock sequences) is different from that corresponding to the first recorded earthquake (mainshock), the repeated approach is not considered as the proper modeling of earthquake sequences for NTHA.

Since 1980’s, the concept of “energy balance” has been applied in the study of the nonlinear response of structures (e.g., Akiyama, 1985; Akiyama, 1999; Uang and Bertero, 1990). Recent advances in energy-based seismic engineering can be found in the literature (Benavent-Climent and Mollaioli, 2021; Varum et al., 2023; Dindar et al., 2025). Akiyama (1985) has proposed the equivalent velocity of the total input energy (VI) as the seismic intensity parameter related to the cumulative response of structures. While, for the prediction of the nonlinear peak response of ductile RC structures, Inoue and his research group proposed the equivalent velocity of the maximum momentary input energy (VΔE) as the seismic intensity parameter (Hori et al., 2000; Inoue et al., 2000; Hori and Inoue, 2002). They showed in Hori et al. (2000) that “momentary input energy is related to response displacement of structures immediately, and that energy input process is important for the evaluation of the damaging properties of earthquakes such as impulsive or cyclic.” Following their study, the author (Fujii et al., 2021) formulated the “time-varying function” for calculating the momentary input energy from the complex Fourier spectrum of ground acceleration. In addition, the momentary input energy and total input energy are implemented to a simplified procedure for predicting the peak and cumulative response of an RC MRF with SDCs (Fujii and Shioda, 2023).

There are also several studies of the nonlinear response of building structures subjected to earthquake sequences in terms of energy (e.g., Zhai et al., 2016; Alıcı and Sucuoğlu, 2024; Donaire-Ávila et al., 2024; Galé-Lamuela et al., 2025). Specifically, Donaire-Ávila et al. (2024) and Galé-Lamuela et al. (2025) examined the applicability of Akiyama’s cumulative energy distribution theory (Akiyama, 1985; Akiyama, 1999) in case of RC building models subjected to earthquake sequences. They noted that “the distribution of the cumulative dissipated energy among the stories remained basically the same across all events within a sequence, regardless of the design approach or the proneness of the frame to damage concentration.”

Takewaki and his group have developed an innovative energy approach (Kojima and Takewaki, 2015a; 2015b; 2015c; Akehashi and Takewaki, 2021; Akehashi and Takewaki, 2022a; Akehashi and Takewaki, 2022b). They developed a simplified seismic input model by using a series of impulses for calculation on the critical earthquake response of structures, named as critical double impulses (DI) and critical multi impulse (MI). The development of this theory and recent achievements are summarized in the literature (Takewaki and Kojima, 2021; Takewaki, 2025). Following their studies, this author has applied their pseudo-multi impulses (PDI) and pseudo-multi impulse (PMI) analyses to an RC MRF with SDCs (Fujii, 2024a; 2024b) to verify a simplified procedure for predicting the peak and cumulative response of an RC MRF with SDCs (Fujii and Shioda, 2023). Then, the author proposed an extended version of incremental critical PMI analysis (extended ICPMIA) for predicting the nonlinear response of structures subjected to earthquake sequences (Fujii, 2025a).

In the author’s view, the strong points of this extended ICPMIA are i) it can be performed if the structural model is stable for NTHA; ii) it automatically calculates the cumulative response of members, which is important for discussing the accumulated damages of the structure under earthquake sequences; iii) the responses obtained from it can be easily associated with ground motion using an energy spectrum as demonstrated in a previous study (Fujii, 2025a); and iv) its results make nonlinear structural characteristics much easier to understand because the seismic input is simplified. In the extended ICPMIA, the simplification of seismic input introduced in the original PMI is still valid. The nonlinear characteristics of the structure obtained from the extended ICPMIA are independent of the complex frequency characteristics of selected input ground motion sequences. This is because the frequency characteristics of input ground motion are automatically determined from the nonlinear characteristics of the structure itself. This is why the extended ICMPIA would be a powerful tool for understanding the basic behavior of structures subjected to a sequential seismic input.

1.2 Objectives

In this article, the seismic behavior of an RC MRF with SDCs under pulse-like ground motion sequences is investigated by applying an extended ICPMIA. This article consists of two analytical studies. The first analytical study focuses on (a) the degradation in energy dissipation of an RC MRF and SDCs, and (b) the increase in response period due to prior earthquake damage. An extended ICPMIA of RC MRF models is carried out. The first analytical study addresses the following three questions:

I. Considering the case when the pulse velocity of each MI is the same, how will the peak displacement of an RC MRF with SDCs subjected to two MIs differ from that for a single MI?

II. How will the hysteretic dissipated energy of RC members of a damaged RC MRF with SDCs differ from that of a non-damaged structure, and how will the hysteretic dissipated energy of SDCs of a damaged RC MRF differ from that of a non-damaged structure?

III. How will the increase in the response period of an RC MRF with SDCs be influenced by the pinching of RC beams and the strength balance of the RC MRF and SDCs?

The second study focuses on the influence of the pulse period of pulse-like ground motion sequences on the response of RC MRFs with SDCs. An NTHA of RC MRF models with SDCs is carried out using a model of sequential pulse-like ground motion. In this analysis, the pulse periods of the first and second inputs are different, whereas the peak velocities of the first and second inputs are the same. The second analytical study addresses the following two questions:

IV. Which combination of the two pulse periods produces the severest response in a given RC MRF model?

V. Considering the envelope of NTHA results and all combinations of pulse periods while the peak velocities of the first and second pulses are kept constant, can the results of the extended ICPMIA approximate the NTHA envelope?

The remainder of this article is organized as follows. Section 2 outlines the extended ICPMIA. Section 3 presents an RC MRF building model with SDCs. Section 4 shows the ICPMIA results for this building model and then discusses i) the relationship between the equivalent velocity of the maximum momentary input energy of the first modal response (VΔE1*) and the maximum equivalent displacement of the first modal response (D1max*), ii) the response period of the first mode (T1res), and iii) the hysteretic dissipated energies of RC MRFs and SDCs (ESf and ESd, respectively) during the first and second MIs. Then, NTHAs of RC MRFs with SDCs are carried out using models of pulse-like ground motion, and those results are compared with those of the extended critical PMI analysis in Section 5. Conclusions and further directions of this work are discussed in Section 6.

2 Outline of the extended ICPMIA

2.1 Extended critical PMI analysis

Figure 1 outlines the extended critical PMI analysis considering sequential input. Detailed formulations of the extend critical PMI analysis can be found in the previous study (Fujii, 2025a).

Figure 1
Diagram illustrating components and graphs related to a structural engineering model. Figure (a) shows force dynamics on a mass-spring system, and figure (b) depicts a reinforced concrete moment-resisting frame (RC MRF) with steel damper columns (SDC). Section (c) includes graphs plotting various parameters over time: (c1) showing displacement; (c2) and (c3) showing energy distributions; (c4) and (c5) presenting strain energy for RC members and SDCs, respectively. The graphs detail the periods of vibration, energy exchanges, and peak values, with annotations highlighting specific intervals and values.

Figure 1. Extended Critical PMI Analysis. (a) equivalent SDOF model, (b) building model oscillates in the first mode, (c) time-history. Note that this figure is reproduced from Fujii (2025a): c4 and c5 are newly added to show the time-history of strain energy of RC members and SDCs.

A planar frame building model (with N stories) is subjected to a pseudo-impulsive lateral force proportional to the first mode vector (Γ1φ1), as shown in Figures 1a,b. In this figure, Δvg is the ground motion velocity increment, D1* and ΔV1* are respectively the equivalent displacement and the equivalent velocity increment of the equivalent SDOF model representing the first modal response of building model, Δv is the velocity increment vector of the building model.

In the extended critical PMI analysis, the seismic input is modeled as the sequences of two MIs as shown in Figure 1c1: in this figure, Npj is the number of the pseudo-impulsive lateral force in the j-th MI (j = 1, 2), NI is the interval length between the first and second MI, Vpj is the pulse velocity in the j-th MI, j tpk is the time when the k-th pseudo-impulsive lateral force acts through the j-th MI. Note that the intensity of the first and last ground motion velocity increments in each MI is the half of the pulse velocity (Vpj) in case of Npj is larger than 3, following the study by Kojima and Takewaki (2015c).

The time-history of the equivalent displacement D1*t is shown in Figure 1c2. In Figure 1c2, the peak equivalent displacement during the j-th MI (j D1*max) is obtained via Equation 1:

D1max*j=maxD1*tpeakj1,,D1*tpeakjNpj(1)

In Equation 1, j tpeakk is the time at the k-th local peak of D1*t during the j-th MI, as shown in Figure 1c2. The peak equivalent displacement of the first modal response over the course of the entire sequential input (D1max*) is obtained via Equation 2:

D1max*=maxD1max*1,D1max*2(2)

The time-history of the energy of the first modal response (the kinetic energy EK1*, the damping dissipated energy ED1*, the cumulative strain energy ES1*, and the cumulative input energy EI1*) is shown in Figure 1c3. The maximum momentary input energy of the first modal response per unit mass during the j-th MI (ΔE1*/M1*maxj) can be obtained via Equation 3:

E1*/M1*maxj=max{E1*/M1*1j,jE1*/M1*Npj}(3)

In Equation 3, ΔE1*/M1*kj is the momentary input energy of the first modal response per unit mass at time t = j tpk during the j-th MI. The equivalent velocity of the maximum momentary input energy of the first modal response during the j-th MI (VΔE1*j) is defined in Equation 4:

VΔE1*j=2ΔE1*/M1*maxj(4)

Therefore, the equivalent velocity of the maximum momentary input energy over the course of the entire sequential input (VΔE1*) is obtained via Equation 5:

VΔE1*=maxVΔE1*1,VΔE1*2(5)

Next, the response period of the first mode during the j-th MI (Tj1res) is defined as follows. When ΔE1*/M1*maxj occurs at time t = tpjkΔEj, the response period is calculated as twice the interval between the two local peaks in Equation 6:

T1resj=2tpeakjkΔEjtpeakjkΔEj1(6)

For the case in Figure 1c, the red curve shown in the time history of the equivalent displacement (D1*t) indicates the half cycle of the structural response when ΔE1*/M1*maxj occurs. Therefore, because kΔE1 = kΔE2 = 3 in this case, the response period of the first mode during the first and second MIs (1T1res and 2T1res, respectively) is calculated as

T1res1=2tpeak13tpeak12,T1res2=2tpeak23tpeak22

The cumulative input energy of the first modal response per unit mass during the j-th MI (EI1*/M1*j) can be obtained via Equation 7:

EI1*/M1*j=k=1NpjE1*/M1*kj(7)

The equivalent velocity of the cumulative input energy of the first modal response during the j-th MI (VI1*j) is defined in Equation 8:

VI1*j=2EI1*/M1*j(8)

Therefore, the equivalent velocity of the cumulative input energy over the entire sequential input (VI1*) is obtained via Equation 9:

VI1*=VI1*12+VI1*22(9)

Next, the cumulative energies of RC members and SDCs at time t (ESft and ESdt, respectively) are defined as follows. The time-histories of these cumulative energy are shown in Figures 1c4,c5. The cumulative strain energy of the whole structure at time t is defined in Equation 10:

ESt=0tfRtTvtdt(10)

In Equation 10, fRt and vt are the restoring force and velocity vector of the N-story building model. Then ESft and ESdt are calculated via Equations 11,12, respectively:

ESft=EStESdt(11)
ESdt=iESdit=i0tQDitγ˙Dithd0idt(12)

In Equation 12, ESdit is the cumulative strain energy of the damper panel of each SDC in the i-th story; and QDit, γDit, and h0i are the shear force, shear strain, and height of the damper panel of each SDC in the i-th story, respectively.

In this study, the cumulative energies of RC members and SDCs during the first MI (ESf1 and ESd1, respectively) and the second MI (ESf2 and ESd2, respectively) are discussed. These cumulative strain energies are calculated via Equation 13:

ESf1=ESftp210,ESf2=ESftendESf1ESd1=ESdtp210,ESd2=ESdtendESd1(13)

where ESftp210 and ESdtp210 are the cumulative strain energies of RC members and SDCs just before the second MI starts, and tend is the ending time of the analysis.

2.2 Procedure for the extended ICPMIA

In this study, an extended ICPMIA was carried out as follows.

1. STEP 1: ICPMIA considering a single MIAn ICPMIA of an N-story frame building model was carried out. In this step, only a single MI was considered; the numbers of pseudo-impulsive lateral forces were set as Np1= Npand Np2= 0. The pulse velocity Vp(= Vp1) increased until D1max*reached the predetermined value. Then, the pulse velocity of the first MI in the extended ICPMIA (Vp1) was determined as the value at which D1max* equaled the target value.

2. STEP 2: Extended ICPMIA considering two MIsAn extended ICPMIA of an N-story frame building model was carried out. In this step, two MIs were considered; the numbers of pseudo-impulsive lateral forces were set as Np1= Np2= Np. The pulse velocity of the first MI obtained in the previous step (Vp1) was used, while the pulse velocity of the second MI (Vp2) increased until D1max*reached the predetermined value.

3 Building model

The building models analyzed in this study were three eight-story housing buildings shown in Figure 2. The structural plans of the three models (Dp033, Dp050, and Dp100) are shown in Figures 2a–c. Model Dp100 in Figure 2c was the same model used in a previous study (Fujii, 2025a), while models Dp033 and Dp050 in Figures 2a,b had one-third and one-half the number of SDCs as Dp100, respectively. As mentioned in the previous study (Fujii, 2025a), model Dp100 was designed using simplified procedure by Mukoyama et al. (2021): the displacement limit D1limit* was assumed to be 1/75 of the equivalent height (= 0.232 m), while the design earthquake spectrum was the code-specific spectrum [soil condition; type-2 (normal)] of the Building Standard Law of Japan (Building Center of Japan, 2016). The unit weight per floor mass was assumed to be 13 kN/m2, which is the typical value of the Japanese RC housing building. Frames A and B of all three models were assumed to extend infinitely in both longitudinal directions, and the colored area in Figures 2a–c was modeled for the analysis. Detail of the building model properties are given in Supplementary Appendix S1. To check the strength balance of the RC MRF and SDCs, the ratio of the initial yield strength of the SDCs in the i-th story (QyDLi) to the yield strength of the RC MRF in the i-th story (QyFi), QyDL/QyFi, was calculated for each model. The ranges of the ratio QyDL/QyFi of models Dp033, Dp050, and Dp100 were 0.079 to 0.109, 0.119 to 0.164, and 0.238 to 0.327, respectively.

Figure 2
Structural diagrams showing three different configurations of seismic design models (a, b, c) for frames A and B, with directional seismic input arrows. The areas considered in each model are highlighted in yellow, marked as SDC. Right side diagrams (d, e) illustrate RC beam-column configurations with SDC. Dimensions and levels are provided in millimeters and labeled as Lv. 0 to Lv. 8.

Figure 2. Building Model. (a) structural plan (Dp033), (b) structural plan (Dp050), (c) structural plan (Dp100), (d) structural model of frame A (Dp050), (e) structural model of frame A (Dp100).

In the structural modeling, only planar behavior in the longitudinal direction was considered. All frames were connected through a rigid slab. Figure 2d shows the structure of Frame A in model Dp050. Only a two-span area was extracted from the endless longitudinal frames in Dp050; therefore, the end of each boundary RC beam was supported by a horizontal roller. Figure 2e shows the structural model of Frame A in Dp100. This used the same modeling scheme as in a previous study (Fujii, 2025a). Similar modeling schemes were applied to model Dp033. The natural periods of the first modal responses in the elastic ranges of models Dp033, Dp050, and Dp100 were 0.542, 0.520, and 0.459 s, respectively.

To investigate the influence of the pinching behavior of RC beams to the nonlinear behavior of RC MRF with SDCs, two cases are considered in the hysteresis rules for RC beams in this study. Figure 3a shows the hysteresis rule of RC beams with significant pinching behavior, while the hysteresis rule shown in Figure 3b is the rule of RC beams with no pinching. Note that the same hysteresis rules applied in a previous study (Fujii, 2025a) are applied in this study. To control the pinching behavior of RC beams, the parameter c was set to 0.25 in case of significant pinching, while c was set to 1.00 in case of no pinching. No pinching behavior is considered in RC columns in this study. Therefore, the hysteresis rule shown in Figure 3b (c = 1.00) is applied for RC columns, regardless of the hysteresis model applied in RC beams. The detail of the hysteresis rule of RC members can be found in Supplementary Appendix S2. The trilinear hysteresis model considering strain hardening of the low-yield-steel damper panel (Ono and Kaneko, 2001) shown in Figure 3c is applied for the SDC damper panel. The damping matrix was assumed to be proportional to the instantaneous (tangent) stiffness without an SDC. The damping ratio of the first modal response in the elastic range of the model without an SDC was assumed to be 0.03. Second-order effects were neglected in this analysis.

Figure 3
Three graphs illustrating hysteresis loops. (a) A symmetrical blue loop around the origin on an axis marked from negative to positive theta and M. (b) An asymmetric blue loop with similar axes. (c) A red loop on an axis with gamma and Q, demonstrating a distinct pattern diverging from the dashed lines.

Figure 3. Hysteresis Model (Fujii, 2025a). (a) RC beam (c = 0.25), (b) RC beam (c = 1.00) and RC column, (c) damper panel (SDC).

4 ICPMIA of the building model

The analytical study in this section focused on (a) the degradation in energy dissipation of an RC MRF with SDCs and (b) the increase in the response period due to prior earthquake damage.

4.1 Analysis method

First, an ICPMIA considering a single MI was carried out: the numbers Np1 and Np2 were set as Np1 = 4 and Np2 = 0. The value of Vp was set initially at 0.1 m/s with increments of 0.05 m/s until D1max* reached 150% of the target displacement (D1target*). Then, the value of Vp that corresponded to D1target* was found by linear interpolation. In this analysis, D1target* was set to be 1/75 of the equivalent height (= 0.232 m), because this is the design limit assumed in the seismic design of model Dp100 in a previous study (Fujii, 2025a). Note that when D1max* reached 0.232 m, some of the RC beams and the bottom of the columns in the first story yielded, following the yielding of SDC damper panels. Therefore, the damage level of the whole model could be considered “moderate” when D1max* reached 0.232 m.

Next, an extended ICPMIA considering sequential MIs was carried out: the numbers Np1 and Np2 were set as Np1 = Np2 = 4. The value of Vp1 was set as the value corresponding to D1target*, while the value of Vp2 was set initially at 0.1 m/s with increments of 0.05 m/s until D1max* reached 150% of D1target*. As in a previous study (Fujii, 2025a), NI were set to 64 and 65. The case NI = 64, when the first and second MIs had opposite signs, is referred to as “Sequential-1”, while the case NI = 65, when the first and second MIs had the same sign, is referred to as “Sequential-2”. The ending time (tend) was determined as the ending time of the 64th half cycle of free vibration after the action of the Np2-th pseudo-impulsive lateral force.

A previous study by the author (Fujii, 2025b) investigated the suitable Np for near-fault earthquake ground motion using the velocity pulse model by Mavroeidis and Papageorgiou (2003). It concluded that the most suitable Np for the velocity pulse model analyzed was 4. Therefore, Np was set to 4 in this study.

4.2 Analysis results

4.2.1 Single MI

Figure 4 shows comparisons of the VΔE1*D1max* relationship and the VΔE1*Vp relationship for a single MI. The results for c = 0.25 (significant pinching) are shown in Figure 4a, while Figure 4b shows the results for c = 1.00 (no pinching). From Figure 4a1, the value of VΔE1* corresponding to D1max* = D1target* (= 0.232 m) can be found. Then, the value of Vp corresponding to D1target* can be obtained from Figure 4a2. The following observations can be made from Figure 4:

• For c = 0.25, the velocities in Dp033 corresponding to D1target* were VΔE1* = 1.047 m/s and Vp = 0.5877 m/s. Similarly, those in Dp050 were VΔE1* = 1.108 m/s and Vp = 0.6316 m/s, while those in Dp100 were VΔE1* = 1.309 m/s and Vp = 0.7862 m/s.

• For c = 1.00, the velocities VΔE1* and Vp in all three models corresponding to D1target* were slightly higher than for c = 0.25. That is, those velocities in model Dp033 were VΔE1* = 1.049 m/s and Vp = 0.5888 m/s. Similarly, those velocities in Dp050 corresponding to D1target* were VΔE1* = 1.112 m/s and Vp = 0.6336 m/s, while those in Dp100 were VΔE1* = 1.323 m/s and Vp = 0.7967 m/s.

Figure 4
Two sets of graphs labeled (a1), (a2), (b1), and (b2) compare parameters \(D_1^*\) and \(V_p\) against \(V_{Delta-E1}^*\) for different measurements Dp033, Dp050, and Dp100, represented by red, green, and blue lines. Key coordinate points are highlighted in corresponding colors, with dashed lines marking specific reference levels and values on each graph.

Figure 4. Comparisons of the VΔE1*D1*max relationship and the VΔE1*Vp relationship in case of a single MI. (a) c = 0.25, (b) c = 1.00.

In the following analysis, the value of Vp1 was set to the value in Figure 4.

4.2.2 Sequential MIs (2Vp = 1Vp)

Next, the extended ICPMIA results for Vp2 = Vp1 are presented. Figure 5 shows comparisons of the local response in each model in terms of the peak story drift (Rmax) and the normalized cumulative strain energy of the SDC damper panel (NESd), given by Equation 14:

NESdi=ESditendQyDLiγyDLihd0i(14)

Figure 5
Twelve graphs are comparing different metrics for three methods:

Figure 5. Comparisons of the local responses obtained from critical PMI analyses in case of 2Vp = 1Vp. (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

In Equation 14, γyDLi is the initial yield shear strain of each damper panel of the SDCs in the i-th story. The following observations can be made from Figure 5:

• In models Dp033 and Dp050 (c = 0.25), Rmax for Sequential-1 was larger than that for a single MI, while in the other models, Rmax for Sequential-1 was almost the same as for the single MI. However, Rmax for Sequential-2 was larger than that for a single MI in all models.

• The NESd values of Sequential-1 and 2 were larger than those of the single MI in all models. The difference between the NESd values of Sequential-1 and 2 was negligible.

Figure 6 shows the hysteresis loops from PMI analysis for Vp2 = Vp1 in Dp033 (c = 0.25) and Dp100 (c = 0.25). The red curve indicates the half of the structural response when ΔE1*/M1*maxj occurred. This figure also shows the value of VΔE1*j and D1max*j in each MI. In addition, 1 tend is the ending time of the interval between the first and second MIs (=2 tp00), and 2 tend is the ending time of the free vibration after the second MI (= tend). Therefore, the points 1 tend and 2 tend in this figure indicate the residual equivalent displacement after each input is finished.

Figure 6
Graphical representation of dynamic data in six panels, labeled (a1) to (b3). Each panel shows a graph with axes \( A_1^* (m/s^2) \) and \( D_1^* (m) \), depicting various motion profiles and points such as peak accelerations and end times. Red arrows, lines, and labels indicate different stages and sequences of motion, with each panel detailing specific velocity and displacement information. The graphs are titled

Figure 6. Hysteresis Loop obtained from PMI analysis in case of 2Vp = 1Vp. (a) Dp033 (c = 0.25), (b) Dp100 (c = 0.25).

The following observations can be made from Figure 6:

• The value of VΔE1*2 is close to VΔE1*1. The value of VΔE1*2 in Sequential-2 is almost identical to that in Sequential-1.

• For Sequential-1 (Figures 6a2,b2), the direction of the half cycle of the structural response when ΔE1*/M1*max2 occurs in the second MI is opposite to that when ΔE1*/M1*max1 occurs. In model Dp033 (c = 0.25), D1max*2 is larger than D1max*1, whereas in model Dp100 (c = 0.25), D1max*2 is smaller than D1max*1.

• For Sequential-2 (Figures 6a3,b3), the direction of the half cycle of the structural response when ΔE1*/M1*max2 occurs in the second MI is the same as when ΔE1*/M1*max1 occurs. In both models Dp033 and Dp100 (c = 0.25), D1max*2 is larger than D1max*1.

• In both models Dp033 and Dp100 (c = 0.25), D1* at time 1 tend is close to the origin. In model Dp033 (c = 0.25), D1* at time 2 tend is also close to the origin in both Sequential-1 and 2. In model Dp100 (c = 0.25), a non-zero D1* at time 2 tend is observed in Sequential-1, although D1* at time 2 tend is also close to the origin in Sequential-2.

4.2.3 Sequential MIs (2Vp1Vp)

Next, the extended ICPMIA results are shown for the case when Vp1 is fixed while Vp2 increases until D1max* reaches 150% of D1target*.

In Figure 7, the VΔE1*2D1max*2 curves of the second MI obtained from Sequential-1 and 2 (green and red curves, respectively) are compared with the VΔE1*D1max* curve for a single MI (blue curve). In addition, large colored plots indicate the responses in the first and second MIs when Vp2 equals Vp1, which is the value in Figure 4.

Figure 7
Six graphs compare \( V_{AEI}^{*} \) versus \( D_{1 max}^{*} \) with three plotting lines: blue for PMI4 (Single MI), green for PMI4 (2nd MI, Sequential-1), and red for PMI4 (2nd MI, Sequential-2). Highlighted coordinates and percentage differences are annotated on each graph from (a) to (f), displaying trends and variations among the data lines.

Figure 7. Comparisons of the VΔE1*D1*max relationship. (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

The following observations can be made from Figure 7:

• The VΔE1*2D1max*2 curve of Sequential-2 is below the VΔE1*2D1max*2 curve of Sequential-1: for similar values of D1max*2, VΔE1*2 for Sequential-2 is smaller than for Sequential-1.

• For Vp2 = Vp1, the VΔE1*2 values of Sequential-1 and 2 are almost identical and are close to VΔE1* for a single MI (= VΔE1*1). However, the relationships between the D1max*2 values of Sequential-1 and 2 and D1max* for a single MI (= D1max*1) depend on the model. In Sequential-2, D1max*2 is larger than D1max*1 in all models. In Sequential-1, the relationship between D1max*1 and D1max*2 depends on the model: D1max*2 is smaller than D1max*1 in models Dp050 (c = 1.00) and Dp100 (Figures 7c,e,f).

• For Vp2 = Vp1, D1max*2 increases by 25% from its value for the first MI (D1max*1) in Sequential-2 (Figure 7a), which is the largest increase in model Dp033 (c = 0.25). Meanwhile, D1max* increases by 13% from D1max*1 in the second MI (Figure 7f), which is the smallest increase in model Dp100 (c = 1.00).

Figure 8 shows comparisons of the relationship between VΔE1* and the response period of the first mode (T1res). In this figure, the VΔE1*2T1res2 curves of the second MI obtained from Sequential-1 and 2 are compared with the VΔE1*T1res curve for a single MI. The following observations can be made from this figure:

• The difference between the VΔE1*2T1res2 curve of Sequential-1 and the curves of Sequential-2 is limited in all models: for similar values of VΔE1*2, T1res2 for Sequential-2 is close to that for Sequential-1.

• For similar values of VΔE1*, the value of T1res2 is larger than T1res1 in all models. For Dp030 and Dp050 (c = 0.25), T1res2 is larger than T1res1, regardless of the value of VΔE1*2.

• For Vp2 = Vp1, T1res2 increases by 13% from T1res1 for the first MI (Figure 8a), which is the largest increase in model Dp033 (c = 0.25). Meanwhile, T1res in the second MI increases by 7% from T1res1 (Figure 8f), which is the smallest increase in model Dp100 (c = 1.00).

Figure 8
Six graphs display velocity \( V_{AEI}^* \) versus time \( T_{res} \) with three different model variations: PMI4 (Single MI), PMI4 (2nd MI, Sequential-1), and PMI4 (2nd MI, Sequential-2). The graphs are divided into two rows of three (labeled a-f). Each graph contains data points in blue, red, and green lines, marking significant values at specific intersections. Annotations indicate percentage changes and coordinates for clarity. The axes are consistent across graphs, ranging from 0.5 to 1.5 seconds for \( T_{res} \) and 0.0 to 2.0 m/s for \( V_{AEI}^* \).

Figure 8. Comparisons of the VΔE1*T1res relationship. (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

Figure 9 shows the comparisons of the relationship between the cumulative strain energy of RC members per unit mass (ESf/M, M: total mass of the building model) and D1max*. In this figure, the ESf2/MD1max*2 curves of the second MI obtained from Sequential-1 and 2 are compared with the ESf/MD1max* curve for a single MI. The following observations can be made from this figure:

• The ESf2/MD1max*2 curve of Sequential-2 is below the ESf/MD1max* curve of a single MI in all models: for similar values of D1max*, ESf2/M for Sequential-2 is lower than ESf/M for a single MI. However, the relationship between the ESf2/MD1max*2 curve of Sequential-1 and the ESf/MD1max* curve of a single MI depends on the model: in general, for similar values of D1max*, ESf2/M for Sequential-1 is also lower than ESf/M for a single MI.

• For Vp2 = Vp1, ESf2/M decreases by 32% from ESf1/M for the first MI (ESf1/M) of Sequential-2, which is the most significant decrease in model Dp100 (c = 0.25) (Figure 9c). Meanwhile, ESf2/M decreases by only 1% from ESf1/M in model Dp033 (c = 1.00) (Figure 9d).

Figure 9
Six graphs labeled (a) to (f) show the relationship between \( E_{sf}/M \) and \( D^*_{1 \max} \). Curves are color-coded: blue for PMI4 (Single MI), green for PMI4 (2nd MI, Sequential-1), and red for Sequential-2 (2nd MI, Sequential-2). Each graph details specific data points, percentage changes, and curve behaviors, illustrating differences in measurement approaches.

Figure 9. Comparisons of the ESf/MD1*max relationship. (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

Figure 10 shows comparisons of the relationship between the cumulative SDC strain energy per unit mass (ESd/M) and D1max*. In this figure, the ESd2/MD1max*2 curves of the second MI obtained from Sequential-1 and 2 are compared with the ESd/MD1max* curve for a single MI. The following observations can be made from this figure:

• The ESd2/MD1max*2 curve of Sequential-2 is below the ESd/MD1max* curve of a single MI in all models: for similar values of D1max*, ESd2/M for Sequential-2 is lower than ESd/M for a single MI. However, the relationship between the ESd2/MD1max*2 curve of Sequential-1 and the ESd/MD1max* curve of a single MI depends on the model: for similar values of D1max*, ESd2/M for Sequential-1 may be higher than ESd/M for a single MI.

• For Vp2 = Vp1, ESd2/M increases by 25% from ESd1/M for the first MI of Sequential-2 (Figure 10a), which is the largest increase in model Dp033 (c = 0.25) (Figure 10a). Meanwhile, ESd2/M in the second MI increases by 16% from ESd1/M, which is the smallest increase in model Dp100 (c = 1.00) (Figure 10f).

Figure 10
Six line graphs labeled (a) to (f), each depicting relationships between \(E_{sd}/M\) and \(D_{1\,max}^*\). Blue, red, and green lines represent PMI4 Single MI, PMI4 Sequential-1, and PMI4 Sequential-2, respectively. Key data points are marked with coordinates and percentage deviations. Graphs show varying trends and intersections, with annotations indicating percentage differences at specific points. The x-axis is labeled \(D_{1\,max}^*(m)\) and the y-axis is labeled \(E_{sd}/M(m^2/s^2)\). A legend differentiates the line types.

Figure 10. Comparisons of the ESd/MD1*max relationship. (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

4.3 Summary of results and discussion

This section summarizes the response of the RC MRF models with SDCs obtained from the extended ICPMIA. First, the following conclusions can be drawn for Vp2 = Vp1:

• The influence of the signs of the two MIs on the peak response (D1max* and Rmax) was notable. The peak response during the second MI was larger than that during the first MI, when the signs of the first and second MI were the same.

• The influence of the signs of both MIs on the cumulative response (NESd) was negligible.

Next, the following conclusions can be drawn in the case when Vp1 was fixed while Vp2 increased:

• When the significant pinching behavior of RC beams was considered, and the strength of the SDCs was relatively low, the increases in D1max* and the natural period (T1res) in the sequential MIs for a single MI were also notable. Meanwhile, the increases in D1max* and T1res were limited when no beam pinching behavior was considered and the SDC strength was relatively high.

• For similar values of D1max*, the cumulative strain energies of RC members and SDCs dissipated during the second MI per unit mass (ESf2/M and ESd2/M, respectively) were lower than those for a single MI when the signs of the first and second MIs were the same. For Vp2 = Vp1, ESf2/M was lower than ESf1/M while ESd2/M was higher than ESd1/M. These trends were pronounced when the significant pinching behavior of RC beam was considered.

Therefore, the cumulative strain energy demand of SDCs would be more pronounced in earthquake sequences. This is due to the decrease in energy dissipation in the second seismic input of RC members, not only the increase in seismic energy input. This would be pronounced when significant pinching of RC members was expected and the SDC strength was relatively low.

As far as the results discussed herein is considered, the increase of peak response in the sequential MIs was minimal in model Dp100: in this model, the range of the ratio QyDL/QyFi was 0.238 to 0.327. However, the increase of peak response is non-negligible, even in model Dp100. Therefore, the ratio QyDL/QyFi may need to be larger than that in model Dp100, to minimize the increase of peak response in earthquake sequences.

5 Responses of building models under sequential pulse-like ground motions

The analytical study in this section focused on the influence of the pulse period of pulse-like ground motion sequences on the responses of RC MRF models.

5.1 Analysis method

5.1.1 Pulse-like ground motion models

Figure 11 shows the pulse-like ground motion models used in NTHAs. In this study, the velocity pulse model proposed by Mavroeidis and Papageorgiou (2003) was used as the single seismic input. The time history of the velocity pulse of this model is expressed as Equation 15:

vgt=A21+cos2πγTptt0cos2πTptt0+ν:t0γTp2tt0+γTp20:otherwise(15)

where A is the velocity amplitude; Tp is the pulse period; and t0, γ, and ν are the parameters of this pulse model. Here, the parameters were set as t0 = 10 s, γ = 2, and ν = 0° and 90°. The single-pulse model ν = 0° is referred to as Single-Pulse-000, while ν = 90° is referred to as Single-Pulse-090. Acceleration time histories of these single-pulse models (A = 1.0 m/s, Tp = 1.0 s) are shown in Figure 11a.

Figure 11
Composite image with three sets of graphs labeled (a), (b), and (c). (a) shows acceleration over time for angles 0° and 90°, both with amplitude oscillations. (b) depicts velocity versus time with marked peaks at coordinates (0.89, 2.922) for 0° and (0.88, 2.935) for 90°. (c) displays acceleration over time for initial and subsequent inputs, showcasing opposite and same sign responses at angles 0° and 90°. Each graph has specific annotations and labeled axes.

Figure 11. Pulse-like ground motion model. (a) time-history of single-pulse model (Tp = 1.0 s, A = 1.0 m/s): (a1) ν = 0°, (a2) ν = 90°, (b) energy spectrum of single-pulse model (Tp = 1.0 s, A = 1.0 m/s): (b1) ν = 0°, (b2) ν = 90°, (c) time-history of sequential pulse model (1A = 2A = 1.0 m/s): (c1) ν = 0°, (c2) ν = 90°.

Figure 11b shows the energy spectra (VI and VΔE) of these single-pulse models (A = 1.0 m/s, Tp = 1.0 s). The VI and VΔE spectra were calculated using the time-varying function proposed in one of our previous studies (Fujii et al., 2021): the complex damping coefficient β was set to 0.10, following another of our previous studies (Fujii and Shioda, 2023). The amplitude of each single-pulse model was determined by equating the peak value of the VΔE spectrum in Figure 11b and the VΔE1* value corresponding to D1target* in Figure 4.

The sequential-pulse model used in this analysis was based on the velocity pulse model by Mavroeidis and Papageorgiou (2003). The time history of the sequential velocity pulse model is expressed as Equation 16:

vgt=A121+cos2πγ1Tp1tt01cos2πTp1tt01+ν1:t01γ1Tp12tt01+γ1Tp12A221+cos2πγ2Tp2tt02cos2πTp2tt02+ν2:t02γ2Tp22tt02+γ2Tp220:otherwise(16)

where Aj and Tpj are the amplitude and pulse period of the j-th input (j = 1, 2); and t0j, γj, and νj are the parameters of this pulse model. In this analysis, the parameters were set as t01 = 10 s, t02 = 30 s, γ1 = γ2 = 2, and ν1 = ν2 = 0° and ν1 = ν2 = 90°. The sequential-pulse model ν1 = ν2 = 0° is referred to as Sequential-Pulse-000, while ν1 = ν2 = 90° is referred to as Sequential-Pulse-090. Acceleration time histories (A1 = A2 = 1.0 m/s) are shown in Figure 11c1 for Sequential-Pulse-000 (Tp1 = 1.1 s, Tp2 = 1.5 s) and Figure 11c2 for Sequential-Pulse-090 (Tp1 = 1.2 s, Tp2 = 1.7 s). This section also studies the influence of the signs of the first and second inputs, namely, the same-sign case A2 = A1 and opposite-sign case A2 = A1.

5.1.2 Analysis procedure

First, an NTHA was carried out on the single-pulse model via the following procedure:

i. The pulse period (Tp) was increased from 0.5 s to 2.5 s in increments of 0.1 s.

ii. The peak equivalent displacement of the first modal response (D1max*) was calculated from the NTHA results, according to the procedure presented in a previous study (Fujii, 2022).

iii. The largest D1max* was found along with the corresponding Tp (= Tpmax1).

Note that different values of Tpmax1 could be obtained for Single-Pulse-000 and Single-Pulse-090.

Then, an NTHA was carried out on the sequential-pulse model via the following procedure:

i. The pulse period of the first input (Tp1) was fixed as the Tpmax1 value obtained from the single-pulse model, while that of the second input (Tp2) was increased from 0.5 s to 2.5 s in increments of 0.1 s.

ii. The value of D1max* was calculated from the NTHA results.

iii. The largest D1max* was found along with the corresponding Tp2 (= Tpmax2).

5.2 Analysis results

5.2.1 Single-pulse model

Figure 12 shows comparisons of the local responses (Rmax and NESd) obtained from the NTHA using the single-pulse models and critical PMI analysis. This figure shows all the NTHA results for Single-Pulse-000 and Single-Pulse-090 and their envelopes. “PMI” in this figure is the ICPMIA result corresponding to D1target* in Figure 5.

Figure 12
Six graphs labeled (a) to (f) show story-wise data plots. Each graph displays two types of data:

Figure 12. Comparisons of the local responses (single-pulse model). (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

The following observations can be made from Figure 12:

• The Rmax values obtained from PMI agree well with the envelopes of the NTHA results, although slight underestimations are observed in the upper (sixth and seventh) stories.

• The NESd values obtained from PMI are close to the NTHA envelopes.

Therefore, the Rmax and NESd envelopes from NTHA for both Single-Pulse-000 and Single-Pulse-090 can be approximated by the ICPMIA results, assuming Np = 4. This result is consistent with the results of a previous study (Fujii, 2025b).

Figure 13 shows comparisons of the D1max*Tp relationship obtained from NTHA in the single-pulse models. In this figure, the ICPMIA values of D1max* and T1res are shown for comparison.

Figure 13
Six line graphs compare

Figure 13. Comparisons of the D1*maxTp relationship (single-pulse model). (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

The following observations can be made from Figure 13:

• The largest D1max* value obtained from Single-Pulse-000 is slightly larger than that from Single-Pulse-090. Meanwhile, the values of Tpmax1 obtained from Single-Pulse-000 and 090 are different. As shown in Figure 13a (model Dp033, c = 0.25), the largest D1max* obtained from Single Pulse-000 is 0.2292 m, while that from Single Pulse-090 is 0.2136 m. In addition, the value of Tpmax1 obtained from Single-Pulse-000 is 1.1 s, while that from Single-Pulse-090 is 1.2 s.

• The largest D1max* value obtained from NTHA is close to D1max* from ICPMIA.

• The values of Tpmax1 are slightly smaller than the T1res values from ICPMIA. The range of Tpmax1/T1res for all models is 0.87 to 0.90.

5.2.2 Sequential-pulse model

Figure 14 shows comparisons of the local responses (Rmax and NESd) obtained from NTHA using sequential-pulse models and extended critical PMI analysis. This figure shows all the NTHA results for Sequential-Pulse-000 and Sequential-Pulse-090 along with their envelopes. “Extended PMI” in this figure consists of the envelopes of Sequential-1 and 2 in Figure 5.

Figure 14
Six-panel graphic showing the relationship between story level, R_max (%), and NE_sd. Each plot depicts a trend of decreasing story level with increasing R_max (%) or NE_sd. Red lines represent NTHA and dashed lines NTHA (Envelope) with green dots for Extended PMI. Panels are labeled (a) to (f).

Figure 14. Comparisons of the local responses (sequential-pulse model). (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

The following observations can be made from Figure 14:

• The Rmax values obtained from Extended PMI agree well with the NTHA envelopes for Dp050 and Dp100. However, for Dp033, the Rmax values from Extended PMI underestimate the NTHA envelope.

• The NESd values obtained from Extended PMI are close to the NTHA envelopes.

Figure 15 shows comparisons of the D1max*Tp relationship from NTHA in the sequential pulse models. For each Tp value, the larger D1max* value obtained from NTHA using the same-sign (A2 = A1) and opposite-sign (A2 = A1) inputs is plotted in this figure. The values of D1max* and T1res2 obtained from extended ICPMIA (Sequential-2) are shown for comparison.

Figure 15
Six line graphs (a-f) compare different pulsing sequences (Single-Pulse and Sequential-Pulse) with variations at 000 and 090 degrees. The x-axis represents \( T_p \) in seconds, and the y-axis shows \( D_{1 \max}^* \) in meters. Each graph highlights peak values with coordinates marked. The graphs include vertical and horizontal lines marking specific points, and text annotations for peak descriptions. Data series are color-coded: red, blue, dotted and solid lines, with a legend explaining the codes. Each graph notes \( \left(\frac{T_{2}}{T_{res}}\right) \) values.

Figure 15. Comparisons of the D1*maxTp relationship (sequential-pulse model). (a) Dp033 (c = 0.25), (b) Dp050 (c = 0.25), (c) Dp100 (c = 0.25), (d) Dp033 (c = 1.00), (e) Dp050 (c = 1.00), (f) Dp100 (c = 1.00).

The following observations can be made from Figure 15:

• The largest D1max* values obtained from NTHA are close to D1max* from extended ICPMIA. The largest D1max* value from Sequence-Pulse-000 is larger than D1max* from extended ICPMIA for all models. Meanwhile, the largest D1max* from Sequence Pulse-090 is smaller than D1max* from extended ICPMIA.

• The value of Tpmax2 obtained from the sequential-pulse model is larger than Tpmax1 from the single-pulse model. For model Dp033 (c = 0.25) in Figure 15a, the ratio Tpmax2/Tpmax1 is 1.5/1.1 = 1.36 for Sequential-Pulse-000, while Tpmax2/Tpmax1 is 1.7/1.2 = 1.42 for Sequential-Pulse-090. Meanwhile, for model Dp100 (c = 0.25) in Figure 15c, the Tpmax2/Tpmax1 ratios for Sequential-Pulse-000 and 090 are 1.2/1.0 = 1.20 and 1.1/0.9 = 1.22, respectively.

• The values of Tpmax2 are close to T1res2 from extended ICPMIA.

5.3 Discussion

The analysis results in this section can be summarized as follows:

• The ICPMIA results provide accurate approximations of the most critical local response (peak story drift Rmax and normalized cumulative strain energy NESd of SDC damper panels) for the single-pulse models. In addition, the extended ICPMIA results accurately approximate the most critical local response for the sequential-pulse models.

• For a sequential-pulse model, the pulse-period condition Tp2 < Tp1 produces the most critical response for a given RC MRF model. In other words, repeating the same pulse model with the same pulse period (Tp2 = Tp1 = Tpmax1) will not produce the most critical response for the sequential pulsive input.

The second conclusion is consistent with the results in the previous section. That is, because the response period of the first mode in the second MI (T1res2) is longer than that in the first MI(T1res1), Tp2 should be longer than Tp1 to produce the most critical response for a sequential input of two pulses. It should be emphasized that applying the same ground acceleration several times (the repeated approach), which has been done in many past studies, does not produce the most critical response for the earthquake sequences.

6 Conclusion

In this article, the seismic behavior of an RC MRF with SDCs under pulse-like ground motion sequences was investigated by applying an extended ICPMIA. An extended ICPMIA of RC MRF models was carried out in the first part of this study. The main conclusions from the first part can be summarized as follows:

I. When the pulse velocities of the two MIs are the same in the sequential MIs, the equivalent velocities of the maximum momentary input energy of the first modal response (VΔE1*) in both MIs are similar. The peak equivalent displacement (D1max*) of an RC MRF with SDCs in sequential MIs is larger than that for a single MI when the signs of the first and second MIs are the same. This trend is notable when the SDC strength is relatively low, and the pinching behavior of RC beam is significant.

II. For similar values of D1max*, the cumulative strain energy of RC members during the second MI in the sequential MIs is smaller than that for a single MI. This trend is notable when the pinching behavior of RC beam is significant. Meanwhile, the cumulative strain energy of SDCs during the second of the sequential MIs is smaller than that for a single MI when the signs of the first and second MIs are the same.

III. For similar values of VΔE1*, the response period of the first mode in the second MI (T1res2) is longer than that for a single MI. This trend is notable when the SDC strength is relatively lower, and the pinching behavior of RC beam is significant.

The second analytical study focused on the influence of the pulse period of pulse-like ground motion sequences on the response of RC MRFs with SDCs. An NTHA of RC MRF models with SDCs was carried out using the sequential pulse-like ground motion model. The main conclusions from the second part can be summarized as follows:

IV. In the NTHA results for sequential pulse-like ground motion, the most critical period of the second input (Tpmax2) is longer than that of a single input (Tpmax1).

V. The most critical response obtained from NTHA using sequential pulses can be approximated by the extended ICPMIA results.

Conclusions I) to V) answer questions I) to V) in Section 1.2. These conclusions support the effectiveness of the extended ICPMIA presented in the author’s previous study (Fujii, 2025a).

The significance of this study can be summarized in two points. The first is that the extended ICPMIA clearly evaluates the basic behavior of RC MRFs with SDCs subjected to an earthquake sequence. Specifically, this study has clearly evaluated the influence of the strength ratio of SDCs to RC MRF and the pinching behavior of RC beam on (a) the peak displacement of the RC MRF in a sequential seismic input, (b) degradation in hysteretic dissipated energy of RC members and SDCs during the second seismic input in the non-damaged case, and (c) the increase in natural period in the second seismic input in the non-damaged case. Unlike the results of most previous studies, the results herein are independent of the complex frequency characteristics of the selected input ground motions used in NTHA. Therefore, those presented herein represent the basic nonlinear characteristics of an RC MRF with SDCs because they are derived from the analyzed structures themselves. The second point is that the most critical response of an RC MRF with SDCs subjected to a sequential pulsive input can be approximated by the extended ICPMIA. This achievement contributes to the method of seismic design of building structures considering earthquake sequences.

Note that these results may only be valid for the RC MRF models with SDCs studied herein. Therefore, without further verification using additional building models, the following questions remain unanswered. This list is not comprehensive:

• One of the most important issues in the seismic design of an RC MRF with SDCs is evaluating the damage to RC members and SDCs. Because the damper panel in SDC is made of low-yield-strength steel, its damage evaluation may be based on the peak shear strain and the cumulative strain energy. If the proper relationship between the ultimate peak shear strain (or strain amplitude) and cumulative strain energy at failure of the damper panel is known, then it is possible to evaluate the limit of the story drift of an RC MRF when the damper panel reaches the failure. What will the story drift limit be? Will it be larger than the story drift considered in the design of an RC MRF with SDCs (e.g., 2%)? How will the number of impulsive inputs (Np) influence the story drift limit?

• One of our previous studies (Fujii and Shioda, 2023) proposed a simplified procedure to predict the peak and cumulative responses of an RC MRF with SDCs, based on nonlinear static (pushover) analysis. To extend this simplified procedure to the case of an earthquake sequence, it is necessary to evaluate the VΔE1*D1* and T1resD1* (or VΔE1*T1res) relationships of RC MRFs. How can VΔE1* and T1res be formulated considering the previous response of the RC MRF?

7 Transparency statement

This manuscript is a part of the research project (JSPS KAKENHI Grant Number JP23K0416). The part of finding from this research project have been reported in the work previously published (Fujii, 2025a), Seismic response of reinforced concrete moment-resisting frame with steel damper columns under earthquake sequences: evaluation using extended critical pseudo-multi impulse analysis. Frontiers in Built Environment. 11, 1561534]. The same structural model (Dp100 in this manuscript) is used in the previous work, while the other models (Dp033 and Dp050) are the models newly created for this study, as variants of the model Dp100. The previous work was focused on the proposal of the extended ICPMIA and its applicability for the predicting the responses of RC MRFs with SDCs subjected to earthquake sequences. Meanwhile, this work is the parametric study of RC MRFs with SDCs using the extended ICPMIA, focusing on the basic behaviors of RC MRFs with SDCs subjected to sequential seismic input (e.g., the response period of structures, energy dissipation of RC MRFs and SDCs). In this parametric study, influence of the strength balance of RC MRFs and SDCs to the response under sequential seismic input, which cannot be included in the previous study, is also investigated. The analysis data shown in this manuscript is originally created in this study and unpublished previously.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

KF: Writing – original draft, Writing – review and editing.

Funding

The authors declare that financial support was received for the research and/or publication of this article. This study received financial support from JSPS KAKENHI Grant Number JP23K04106.

Acknowledgements

The author thanks Edanz (https://www.jp.edanz.com/ac) for editing a draft of this manuscript.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbuil.2025.1689930/full#supplementary-material

Abbreviations

DI, double impulse; ICPMIA, incremental critical pseudo-multi-impulse analysis; MDOF, multi-degree-of-freedom; MI, multi impulse; MRF, moment-resisting frame; NTHA, nonlinear time history analysis; PDI, pseudo-double impulse; PMI, pseudo-multi impulse; RC, reinforced concrete; SDC, steel damper column; SDOF, single-degree-of-freedom.

References

Abdelnaby, A. E. (2016). Fragility curves for RC frames subjected to tohoku mainshock-aftershocks sequences. J. Earthq. Eng. 22 (5), 902–920. doi:10.1080/13632469.2016.1264328

CrossRef Full Text | Google Scholar

Abdelnaby, A. E., and Elnashai, A. S. (2014). Performance of degrading reinforced concrete frame systems under the tohoku and christchurch earthquake sequences. J. Earthq. Eng. 18, 1009–1036. doi:10.1080/13632469.2014.923796

CrossRef Full Text | Google Scholar

Akehashi, H., and Takewaki, I. (2021). Pseudo-double impulse for simulating critical response of elastic-plastic MDOF model under near-fault earthquake ground motion. Soil Dyn. Earthq. Eng. 150, 106887. doi:10.1016/j.soildyn.2021.106887

CrossRef Full Text | Google Scholar

Akehashi, H., and Takewaki, I. (2022a). Pseudo-multi impulse for simulating critical response of elastic-plastic high-rise buildings under long-duration, long-period ground motion. Struct. Des. Tall Special Build. 31 (14), e1969. doi:10.1002/tal.1969

CrossRef Full Text | Google Scholar

Akehashi, H., and Takewaki, I. (2022b). Bounding of earthquake response via critical double impulse for efficient optimal design of viscous dampers for elastic-plastic moment frames. Jpn. Archit. Rev. 5 (2), 131–149. doi:10.1002/2475-8876.12262

CrossRef Full Text | Google Scholar

Akiyama, H. (1985). Earthquake resistant limit-state design for buildings. Tokyo: University of Tokyo Press.

Google Scholar

Akiyama, H. (1999). Earthquake-resistant design method for buildings based on energy balance. Tokyo: Gihodo Shuppan.

Google Scholar

Alavi, B., and Krawinkler, H. (2000). “Consideration of near-fault ground motion effect in seismic design,” in Proceedings of the 12th world conference on earthquake engineering (Auckland, New Zealand).

Google Scholar

Alavi, B., and Krawinkler, H. (2004). Behavior of moment-resisting frame structures subjected to near-fault ground motions. Earthq. Eng. Struct. Dyn. 33, 687–706. doi:10.1002/eqe.369

CrossRef Full Text | Google Scholar

Alıcı, F. S., and Sucuoğlu, H. (2024). “Input energy from mainshock-aftershock sequence during February 6, 2023 earthquakes in south east Türkiye,” in Proceedings of the 18th world conference on earthquake engineering (Milan, Italy).

Google Scholar

Amadio, C., Fragiacomo, M., and Rajgelj, S. (2003). The effects of repeated earthquake ground motions on the non-linear response of SDOF systems. Earthq. Eng. Struct. Dyn. 32, 291–308. doi:10.1002/eqe.225

CrossRef Full Text | Google Scholar

Baker, J. W. (2007). Quantitative classification of near-fault ground motions using wavelet analysis. Bull. Seismol. Soc. Am. 97 (5), 1486–1501. doi:10.1785/0120060255

CrossRef Full Text | Google Scholar

A. Benavent-Climent, and F. Mollaioli (2021). Energy-based seismic engineering, proceedings of IWEBSE 2021 (Cham: Springer).

Google Scholar

Building Center of Japan (BCJ) (2016). The building standard law of Japan on CD-ROM. Tokyo Build. Cent. Jpn.

Google Scholar

Di Sarno, L. (2013). Effects of multiple earthquakes on inelastic structural response. Eng. Struct. 56, 673–681. doi:10.1016/j.engstruct.2013.05.041

CrossRef Full Text | Google Scholar

Di Sarno, L., and Amiri, S. (2019). Period elongation of deteriorating structures under mainshock-aftershock sequences. Eng. Struct. 196, 109341. doi:10.1016/j.engstruct.2019.109341

CrossRef Full Text | Google Scholar

A. A. Dindar, A. Benavent-Climent, F. Mollaioli, and H. Varum (2025). Energy-based seismic engineering, proceedings of IWEBSE 2025 (Cham: Springer).

Google Scholar

Donaire-Ávila, J., Galé-Lamuela, D., Benavent-Climent, A., and Mollaioli, F. (2024). “Cumulative damage in buildings designed with energy and force methods under sequences of earthquakes,” in Proceedings of the 18th world conference on earthquake engineering (Milan, Italy).

Google Scholar

Fujii, K. (2022). Peak and cumulative response of reinforced concrete frames with steel damper columns under seismic sequences. Buildings 12, 275. doi:10.3390/buildings12030275

CrossRef Full Text | Google Scholar

Fujii, K. (2024a). Critical pseudo-double impulse analysis evaluating seismic energy input to reinforced concrete buildings with steel damper columns. Front. Built Environ. 10, 1369589. doi:10.3389/fbuil.2024.1369589

CrossRef Full Text | Google Scholar

Fujii, K. (2024b). Seismic capacity evaluation of reinforced concrete buildings with steel damper columns using incremental pseudo-multi impulse analysis. Front. Built Environ. 10, 1431000. doi:10.3389/fbuil.2024.1431000

CrossRef Full Text | Google Scholar

Fujii, K. (2025a). Seismic response of reinforced concrete moment-resisting frame with steel damper columns under earthquake sequences: evaluation using extended critical pseudo-multi impulse analysis. Front. Built Environ. 11, 1561534. doi:10.3389/fbuil.2025.1561534

CrossRef Full Text | Google Scholar

Fujii, K. (2025b). “Choice of the number of impulsive inputs in the ICPMIA as a substitute for near-fault seismic input to RC MRFs,” in Energy-based seismic engineering, proceedings of IWEBSE 2025, istanbul, Türkiye.

Google Scholar

Fujii, K., and Shioda, M. (2023). Energy-based prediction of the peak and cumulative response of a reinforced concrete building with steel damper columns. Buildings 13, 401. doi:10.3390/buildings13020401

CrossRef Full Text | Google Scholar

Fujii, K., Kanno, H., and Nishida, T. (2021). Formulation of the time-varying function of momentary energy input to a single-degree-of-freedom system using fourier series. J. Jpn. Assoc. Earthq. Eng. 21 (3), 28–47. doi:10.5610/jaee.21.3_28

CrossRef Full Text | Google Scholar

Galé-Lamuela, D., Donaire-Ávila, J., Benavent-Climent, A., and Mollaioli, F. (2025). “Damage distribution in buildings under sequences of earthquakes,” in Energy-based seismic engineering, proceedings of IWEBSE 2025, istanbul, Türkiye.

Google Scholar

Hatzigeorgiou, G. D. (2010a). Behavior factors for nonlinear structures subjected to multiple near-fault earthquakes. Comput. Struct. 88, 309–321. doi:10.1016/j.compstruc.2009.11.006

CrossRef Full Text | Google Scholar

Hatzigeorgiou, G. D. (2010b). Ductility demand spectra for multiple near-and far-fault earthquakes. Soil Dyn. Earthq. Eng. 30, 170–183. doi:10.1016/j.soildyn.2009.10.003

CrossRef Full Text | Google Scholar

Hatzigeorgiou, G. D., and Beskos, D. E. (2009). Inelastic displacement ratios for SDOF structures subjected to repeated earthquakes. Eng. Struct. 31, 2744–2755. doi:10.1016/j.engstruct.2009.07.002

CrossRef Full Text | Google Scholar

Hatzigeorgiou, G. D., and Liolios, A. A. (2010). Nonlinear behaviour of RC frames under repeated strong ground motions. Soil Dyn. Earthq. Eng. 30, 1010–1025. doi:10.1016/j.soildyn.2010.04.013

CrossRef Full Text | Google Scholar

Hori, N., and Inoue, N. (2002). Damaging properties of ground motions and prediction of maximum response of structures based on momentary energy response. Earthq. Eng. Struct. Dyn. 31, 1657–1679. doi:10.1002/eqe.183

CrossRef Full Text | Google Scholar

Hori, N., Iwasaki, T., and Inoue, N. (2000). “Damaging properties of ground motions and response behaviour of structures based on momentary energy response,” in Proceedings of the 12th world conference on earthquake engineering (Auckland, New Zealand).

Google Scholar

Inoue, N., Wenliuhan, H., Kanno, H., Hori, N., and Ogawa, J. (2000). “Shaking table tests of reinforced concrete columns subjected to simulated input motions with different time durations,” in Proceedings of the 12th world conference on earthquake engineering (Auckland, New Zealand).

Google Scholar

Katayama, T., Ito, S., Kamura, H., Ueki, T., and Okamoto, H. (2000). “Experimental study on hysteretic damper with low yield strength steel under dynamic loading,” in Proceedings of the 12th world conference on earthquake engineering (Auckland, New Zealand).

Google Scholar

Kojima, K., and Takewaki, I. (2015a). Critical earthquake response of elastic–plastic structures under near-fault ground motions (part 1: fling-Step input). Front. Built Environ. 1, 12. doi:10.3389/fbuil.2015.00012

CrossRef Full Text | Google Scholar

Kojima, K., and Takewaki, I. (2015b). Critical earthquake response of elastic–plastic structures under near-fault ground motions (part 2: forward-directivity input). Front. Built Environ. 1, 13. doi:10.3389/fbuil.2015.00013

CrossRef Full Text | Google Scholar

Kojima, K., and Takewaki, I. (2015c). Critical input and response of elastic–plastic structures under long-duration earthquake ground motions. Front. Built Environ. 1, 15. doi:10.3389/fbuil.2015.00015

CrossRef Full Text | Google Scholar

Mahin, A. (1980). “Effect of duration and aftershock on inelastic design earthquakes,” in Proceedings of the 9th world conference on earthquake engineering (Turkey: Istanbul).

Google Scholar

Mavroeidis, G. P., and Papageorgiou, A. S. (2003). A mathematical representation of near-fault ground motions. Bull. Seismol. Soc. Am. 93 (3), 1099–1131. doi:10.1785/0120020100

CrossRef Full Text | Google Scholar

Mavroeidis, G. P., Dong, G., and Papageorgiou, A. S. (2004). Near-fault ground motions, and the response of elastic and inelastic single-degree-of-freedom (SDOF) systems. Earthq. Eng. Struct. Dyn. 33, 1023–1049. doi:10.1002/eqe.391

CrossRef Full Text | Google Scholar

Mukoyama, R., Fujii, K., Irie, C., Tobari, R., Yoshinaga, M., and Miyagawa, K. (2021). “Displacement-controlled seismic design method of reinforced concrete frame with steel damper column,” in Proceedings of the 17th world conference on earthquake engineering (Japan: Sendai).

Google Scholar

Ono, Y., and Kaneko, H. (2001). “Constitutive rules of the steel damper and source code for the analysis program,” in Proceedings of the passive control symposium 2001 (Yokohama, Japan). (In Japanese).

Google Scholar

Ruiz-García, J. (2012). Mainshock-aftershock ground motion features and their influence in building's seismic response. J. Earthq. Eng. 16 (5), 719–737. doi:10.1080/13632469.2012.663154

CrossRef Full Text | Google Scholar

Ruiz-García, J. (2013). “Three-dimensional building response under seismic sequences,” in Proceedings of the 2013 world congress on advances in structural engineering and mechanics (ASEM13) (Korea: Jeju).

Google Scholar

Ruiz-García, J., and Negrete-Manriquez, J. C. (2011). Evaluation of drift demands in existing steel frames under as-recorded far-field and near-fault mainshock–aftershock seismic sequences. Eng. Struct. 33, 621–634. doi:10.1016/j.engstruct.2010.11.021

CrossRef Full Text | Google Scholar

Shahi, S. K., and Baker, J. W. (2014). An efficient algorithm to identify strong-velocity pulses in multicomponent ground motions. Bull. Seismol. Soc. Am. 104 (5), 2456–2466. doi:10.1785/0120130191

CrossRef Full Text | Google Scholar

Takewaki, I. (2025). Review: critical excitation problems for elastic–plastic structures under simple impulse sequences. Jpn. Archit. Rev. 8, e70037. doi:10.1002/2475-8876.70037

CrossRef Full Text | Google Scholar

Takewaki, I., and Kojima, K. (2021). An impulse and earthquake energy balance approach in nonlinear structural dynamics. Boca Raton, FL: CRC Press.

CrossRef Full Text | Google Scholar

Uang, C., and Bertero, V. V. (1990). Evaluation of seismic energy in structures. Earthq. Eng. Struct. Dyn. 19, 77–90. doi:10.1002/eqe.4290190108

CrossRef Full Text | Google Scholar

H. Varum, A. Benavent-Climent, and F. Mollaioli (2023). Energy-based seismic engineering, proceedings of IWEBSE 2023 (Cham: Springer).

Google Scholar

Wada, A., Huang, Y., and Iwata, M. (2000). Passive damping technology for buildings in Japan. Prog. Struct. Eng. Mater. 2 (3), 335–350. doi:10.1002/1528-2716(200007/09)2:3<335::aid-pse40>3.0.co;2-a

CrossRef Full Text | Google Scholar

Xu, Z., Agrawal, A. K., He, W. L., and Tan, P. (2007). Performance of passive energy dissipation systems during near-field ground motion type pulses. Eng. Struct. 29, 224–236. doi:10.1016/j.engstruct.2006.04.020

CrossRef Full Text | Google Scholar

Yaghmaei-Sabegh, S. (2014). Time–frequency analysis of the 2012 double earthquakes records in north-west of Iran. Bull. Earthq. Eng. 12, 585–606. doi:10.1007/s10518-013-9531-7

CrossRef Full Text | Google Scholar

Yaghmaei-Sabegh, S., and Ruiz-García, J. (2016). Nonlinear response analysis of SDOF systems subjected to doublet earthquake ground motions: a case study on 2012 varzaghan–ahar events. Eng. Struct. 110, 281–292. doi:10.1016/j.engstruct.2015.11.044

CrossRef Full Text | Google Scholar

Yang, F., Wang, G., and Ding, Y. (2019). Damage demands evaluation of reinforced concrete frame structure subjected to near-fault seismic sequences. Nat. Hazards 97, 841–860. doi:10.1007/s11069-019-03678-1

CrossRef Full Text | Google Scholar

Zhai, C., Ji, D., Wen, W., Lei, W., Xie, L., and Gong, M. (2016). The inelastic input energy spectra for main shock–aftershock sequences. Earthq. Spectra 32 (4), 2149–2166. doi:10.1193/121315eqs182m

CrossRef Full Text | Google Scholar

Keywords: reinforced concrete moment-resisting frame, steel damper column, earthquake sequence, incremental critical pseudo-multi impulse analysis, pulse-like ground motion, maximum momentary input energy

Citation: Fujii K (2025) Critical response of reinforced concrete moment-resisting frames with steel damper columns subjected to sequences of two pulse-like ground motions. Front. Built Environ. 11:1689930. doi: 10.3389/fbuil.2025.1689930

Received: 21 August 2025; Accepted: 22 October 2025;
Published: 12 December 2025.

Edited by:

Solomon Tesfamariam, University of Waterloo, Canada

Reviewed by:

Onur Merter, İzmir University of Economics, Türkiye
Rodolfo Labernarda, University of Calabria, Italy

Copyright © 2025 Fujii. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kenji Fujii, a2VuamkuZnVqaWlAcC5jaGliYWtvdWRhaS5qcA==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.