Guest Editors
Dr. Xu Zheng, School of Civil Engineering, Dalian university of technology, China.
E-mail: zhengxu@dlut.edu.cn
Dr. Kun Feng, School of Mechanical and Aerospace Engineering, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom.
E-mail: k.feng@qub.ac.uk
Dr. Yangguang Yuan, Xi'an University of Architecture and Technology, China.
E-mail: yuanyangguang@xauat.edu.cn
Prof. Ting-Hua Yi, School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, China; School of Civil Engineering, Dalian University of Technology, China.
E-mail: yth@bucea.edu.cn; yth@dlut.edu.cn
Summary
Within the last century, there has been unprecedented infrastructure growth, resulting in the construction of bridges, buildings, and tunnels that push the limits of materials and engineering design. As the tide of infrastructure construction recedes, the focus of research is gradually developing toward maintenance. Effective assessment and proactive maintenance are key to ensure the safe operation of infrastructure during its remaining life cycle. Due to the rapid development of sensing technologies and data analyzing methods in recent years, structural health monitoring has been considered as a promising method for the condition assessment of existing infrastructure. At the same time, structural rapid diagnosis and evaluation techniques have also received increasing attention due to their low implementation cost and strong hidden damage detection ability. The main objective of the special issues is to report the latest development in theoretical and experimental investigations of emerging techniques and systems for structural health monitoring and rapid evaluation of civil structures, such as bridges, buildings, and tunnels, etc.
Covered topics of this special issue include but are not limited to the latest advancement in theory, techniques, methods, and future trends to advance knowledge in the areas of structural health monitoring and rapid evaluation for infrastructures, such as:
• Advanced Techniques for structural health monitoring;
• Structural rapid evaluation and hidden damage detection;
• Static load testing and vibration testing of structure;
• Probabilistic and non-probabilistic approaches for condition assessment;
• Case study and engineering application.
Keywords
Condition assessment, Damage detection, Load testing, Reliability analysis, Moving loads, Modal identification, Model updating, Deep learning
Published Papers
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