Guest Editors
Prof. Maosen Cao, Hohai University, China
Email: cmszhy@163.com
Dr. Dayang Li, Hohai University, China
E-mail: dyl@hhu.edu.cn
Summary
The 14th National Congress on Theoretical and Applied Mechanics (NCTAM) will be held in Sofia, Bulgaria, on 2-4th September 2024. The NCTAM has been a major scientific event, gathering worldwide scientists and engineers from academia and industry. This 14th NCTAM aims to provide opportunities for researchers to present their latest results, to discuss new ideas and to establish a basis for future collaboration. The topics of the congress include General Mechanics, Solid Mechanics, Fluid Mechanics, Robotics, Mechatronics, Biomechanics and other related fields. In addition, several mini-symposia on picked special topics are also arranged. Selected papers are invited for publication in the journals like the international journal Structural Durability & Health Monitoring.
This special issue titled “Mechanics-based Interpretation of Structural Monitoring Data” servers as one of the mini-symposia (MS 06, official url: https://congress.imbm.bas.bg/index.php?page=mini-symposia) of the 14th-NCTAM, which focuses on using mechanics as a tool to interpret massive monitoring data of structures. Authors are encouraged to present their pioneering insights into advanced mechanical theory, nonlinear dynamical characterizations, damage identifications, and mechanics-informed data interpretation, within the motivation of Mechanics-based Interpretation of Structural Monitoring Data. This special issue aims to cultivate international cooperation within the scholarly community. We extend a sincere invitation to academics worldwide to actively participate in the major scientific event to prompt significant advancements of the mechanics-based interdisciplinary domain.
MS 06. Mechanics-based Interpretation of Structural Monitoring Data
Numerous sensors are installed in a range of engineering structures like bridges for real-time acquisition of structural response such as deflection, displacement, strain, acceleration, etc., accumulating massive monitoring data. Noticeably, it is challenging to interpret monitoring data so as to reflect structural physical states. Most existing methods remain in the scope of signal processing, likely incapable of reflecting structural conditions. Especially, when these monitoring data are rashly inputted into artificial intelligence machine for damage identification, resulting in non-convergence in training or low accuracy of identification. This mini-symposium focuses on using mechanics as a tool to interpret massive monitoring data of structures. Interesting topics include but no limited to:
Mechanics-inspired interpretation of monitoring data
Mechanics-driven damage interrogation
Mechanics-underpinned intelligent identification of structural damage
Mechanics-informed structural digital-twin models
Mechanics & data-supported structural performance assessment
Keywords
Mechanics-based Interpretation, Structural Monitoring Data, Nonlinear Dynamics, Damage Identification, Performance Assessment, Machine Learning
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