Research Topic

Reliability-Based Assessment of Bridge Safety and Serviceability

About this Research Topic

Dedicated to Noemi Basso, a friend and esteemed colleague of Waseda University who recently passed away. A flower too delicate to overcome the storms of life.

Safety and serviceability of bridges are crucial for guaranteeing the correct functioning of an infrastructure network. However, nowadays, multi-hazard and extreme events could pose a risk for bridge stability. Amongst these events, the following are critical:

• Increasing road and rail traffic volumes
• Earthquakes
• Wind
• Interaction phenomena
• Structural deterioration
• Erosion processes
• Landslides processes
• Terrorist attacks

The above-mentioned list is not exhaustive, but reports some of the most important phenomena that can affect bridge stability. An accurate security estimation is crucial in the modern era to ensure a well-functioning society. The safety evaluation of a bridge, in relation to the phenomena presented, has to consider their uncertain nature. Uncertainty can be defined aleatory, when linked to the occurrence of stochastic phenomena, or epistemic, when due to an incomplete knowledge of the parameters of the problem and/or the nature of the phenomenon to be modelled. Uncertainties related to the previous phenomena are evident. But it is necessary to widen the estimation, adding the uncertainties connected to materials and their behaviour over time, structural geometry, anthropic loads, modification of environmental conditions (temperature, humidity, CO2, etc.), presence of gusts of wind and their intensity (magnitude), emergence (inception) of complex phenomena due to fluid-structure interaction, modelling of behaviours and stress and strength actions, etc.

A deterministic approach to uncertainty evaluation cannot be efficiently performed. Several different methods based on probabilistic models for recurrence estimation, Monte Carlo simulation models, Fuzzy models as well as hybrid models have long since been proposed by the scientific community.

Considering the current prolific and interactive response of the scientific network, this Research Topic aims to collect a series of approaches for an effective uncertainty evaluation in time-dependent reliability-based structural analysis, serviceability investigation of bridges and failure mode effect analysis for risk assessment of a critical infrastructure network.

The processing of these uncertainties is effectively carried out through Monte Carlo simulations. The original simulation method involved only the use of random variables. Later, the method was expanded to consider other types of variables, such as epistemic variables that can be treated in the context of fuzzy set theory. The method is called Fuzzy-Random Monte Carlo simulation. Other techniques are also used for the structural safety assessment of bridges which are also the object of this Research Topic.


Keywords: Monte Carlo Simulations, Bridges, Uncertainty, Probability, Fuzzy


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Dedicated to Noemi Basso, a friend and esteemed colleague of Waseda University who recently passed away. A flower too delicate to overcome the storms of life.

Safety and serviceability of bridges are crucial for guaranteeing the correct functioning of an infrastructure network. However, nowadays, multi-hazard and extreme events could pose a risk for bridge stability. Amongst these events, the following are critical:

• Increasing road and rail traffic volumes
• Earthquakes
• Wind
• Interaction phenomena
• Structural deterioration
• Erosion processes
• Landslides processes
• Terrorist attacks

The above-mentioned list is not exhaustive, but reports some of the most important phenomena that can affect bridge stability. An accurate security estimation is crucial in the modern era to ensure a well-functioning society. The safety evaluation of a bridge, in relation to the phenomena presented, has to consider their uncertain nature. Uncertainty can be defined aleatory, when linked to the occurrence of stochastic phenomena, or epistemic, when due to an incomplete knowledge of the parameters of the problem and/or the nature of the phenomenon to be modelled. Uncertainties related to the previous phenomena are evident. But it is necessary to widen the estimation, adding the uncertainties connected to materials and their behaviour over time, structural geometry, anthropic loads, modification of environmental conditions (temperature, humidity, CO2, etc.), presence of gusts of wind and their intensity (magnitude), emergence (inception) of complex phenomena due to fluid-structure interaction, modelling of behaviours and stress and strength actions, etc.

A deterministic approach to uncertainty evaluation cannot be efficiently performed. Several different methods based on probabilistic models for recurrence estimation, Monte Carlo simulation models, Fuzzy models as well as hybrid models have long since been proposed by the scientific community.

Considering the current prolific and interactive response of the scientific network, this Research Topic aims to collect a series of approaches for an effective uncertainty evaluation in time-dependent reliability-based structural analysis, serviceability investigation of bridges and failure mode effect analysis for risk assessment of a critical infrastructure network.

The processing of these uncertainties is effectively carried out through Monte Carlo simulations. The original simulation method involved only the use of random variables. Later, the method was expanded to consider other types of variables, such as epistemic variables that can be treated in the context of fuzzy set theory. The method is called Fuzzy-Random Monte Carlo simulation. Other techniques are also used for the structural safety assessment of bridges which are also the object of this Research Topic.


Keywords: Monte Carlo Simulations, Bridges, Uncertainty, Probability, Fuzzy


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

22 May 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

22 May 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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