Structural Dynamics in Civil Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 1460
Special Issue Editors
Interests: masonry; monitoring; seismic; modal analysis; dynamic analysis
Interests: dynamic identification; seismic prevention; structural mitigation; bridge; structural vulnerability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
in the past three decades, the topic of Structural dynamics in civil engineering has witnessed significant evolution, highlighting the ongoing significance of analyzing the dynamic behavior of structures and/or their components against seismic activity, winds, vibrations, and other external forces. Today, a convergence of established and innovative techniques, including Artificial Intelligence (AI), has emerged as a transformative approach to comprehend and optimize structural dynamics. These methods blend traditional methodologies (like finite element analysis, modal analysis, and dynamic response spectrum analysis, as well as the correlation of numerical analysis with experimental tests) with modern techniques (such as Machine Learning (ML), neural networks and statistical analysis). This allows to tackle complex challenges with unprecedented precision and efficiency, facilitating the development of more accurate modeling and simulation in capturing nonlinear and time-varying structural behaviors. In particular, some new techniques permit the evaluation of different scenarios and project performances in different conditions. In this Special Issue papers addressing the monitoring, identification, design, and retrofit of new or existing structures, as well as the failure detection and reinforcement strategies, are encouraged. Through the application of consolidated and new techniques, the aim is to investigate the complex interactions between structures and their dynamic environments to optimize performance and mitigate the potential risks effectively.
Dr. Maria Francesca Sabba
Prof. Dr. Dora Foti
Guest Editors
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Keywords
- modal analysis
- spectrum analysis
- dynamic response
- structural health monitoring (SHM)
- finite element analysis (FEA)
- limit analysis
- nonlinear behavior
- failure mechanisms
- machine learning (ML)
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