Vibration phenomena are inherent in a wide range of engineering systems, from large-scale civil structures and industrial machinery to microelectromechanical devices and biomedical implants. With the continuous advancement of materials, manufacturing technologies, and system complexity, understanding and controlling vibrations has become increasingly critical for ensuring performance, safety, durability, and functionality. Modern engineering challenges demand more accurate modeling of complex dynamic behaviors, integration of smart sensing and actuation mechanisms, and the development of efficient analytical and computational tools. Furthermore, innovations in control strategies - both passive and active - have enabled more sophisticated solutions to mitigate undesired vibrations and exploit beneficial ones, such as in energy harvesting and advanced robotics. This Research Topic aims to bring together recent theoretical developments, numerical techniques, and experimental studies that contribute to the modeling, analysis, and control of vibration phenomena across diverse engineering applications.
Despite significant progress in understanding vibration behavior, many modern engineering systems continue to face critical challenges related to unintended dynamic responses, nonlinearities, and complex interactions across mechanical, electrical, and thermal domains. These issues can lead to excessive noise, energy losses, structural fatigue, or even catastrophic failures. In emerging technologies - such as smart structures, robotics, additive manufacturing, and MEMS/NEMS - the traditional approaches to vibration modeling and control often fall short due to new materials, unconventional geometries, and dynamic operating conditions.
To address these challenges, this Research Topic seeks to explore innovative methods and tools that enhance the modeling, prediction, and regulation of vibration phenomena. This includes:
- Advanced analytical and numerical techniques for handling nonlinear and coupled dynamic systems;
- High-fidelity simulations using finite element and multibody dynamics approaches;
- Machine learning and data-driven methods for vibration pattern recognition and predictive control;
- Smart materials and structures that enable adaptive damping and real-time response adjustment;
- Integrated experimental platforms for validating complex vibration models and control strategies;
- Active and semi-active control schemes to improve vibration suppression in real-world conditions.
By consolidating such interdisciplinary advancements, this Research Topic aims to promote the development of robust, scalable, and efficient vibration solutions applicable to both conventional and emerging engineering domains.
This Research Topic aims to collect cutting-edge research contributions that advance the understanding, modeling, and control of vibration phenomena in contemporary engineering systems. It welcomes interdisciplinary studies that combine theoretical development, computational modeling, experimental validation, and real-world applications. Contributions may range from fundamental investigations of vibrational dynamics to innovative control strategies implemented in smart and adaptive systems.
We invite submissions on (but not limited to) the following themes:
- Nonlinear vibration analysis in mechanical and mechatronic systems.
- Design and optimization of vibration isolators and dampers.
- Active, semi-active, and passive vibration control strategies.
- Vibration-based condition monitoring and fault diagnosis.
- Applications in energy harvesting using vibrational systems.
- Finite element and multibody dynamics approaches to vibration modeling.
- Smart materials and structures for adaptive vibration control.
- Vibrations in MEMS/NEMS and micro-robotic devices.
- Machine learning and AI applications in vibration prediction and control.
- Bio-inspired or bio-mechanical systems exhibiting vibratory motion.
- Experimental techniques for vibration testing and system identification
- Multiscale modeling of vibration in complex structures.
- Vibration phenomena in additive manufacturing and lightweight components.
We welcome a variety of contributions, including:
- Original Research Articles – novel theoretical, computational, or experimental studies.
- Review Articles – comprehensive overviews of specific subtopics or emerging technologies.
- Methods Articles – development and validation of innovative modeling or control techniques.
- Case Studies and Application Papers – real-world implementations of vibration-related solutions.
This research topic fosters collaboration across disciplines and provides a platform for innovations that can significantly impact various sectors, including aerospace, automotive, robotics, civil infrastructure, energy systems, and biomedical devices.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Keywords: Nonlinear dynamics, Structural health monitoring, Energy harvesting, Signal processing, Frequency response, Damping mechanisms, Smart materials, Vibration isolation, Finite element simulation, Experimental validation, Mechatronic systems, Actuation strate
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.