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Structural Dynamics in Civil Engineering
This special issue belongs to the section “Civil Engineering“.
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
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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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