Advances in In-Service Bridge Performance Assessment and Innovative Strengthening Technologies

Submission Deadline: 31 January 2027 View: 9 Submit to Special Issue

Guest Editors

Assoc. Prof. Shaohua He

Email: hesh@gdut.edu.cn

Affiliation: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China

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Research Interests: structural strengthening and rehabilitation of existing bridges, intelligent monitoring and smart maintenance of bridge infrastructure

Prof. Siang Zhou

Email: siangzhou@gdut.edu.cn

Affiliation: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China

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Research Interests: bridge structural design, bridge performance assessment, structural optimization

Assist. Prof. Li Ai

Email: li.ai@utrgv.edu

Affiliation: Department of Civil Engineering, The University of Texas Rio Grande Valley, Edinburg, USA

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Research Interests: structural health monitoring, nondestructive testing

Prof. Zhiyong Wan

Email: 1095801967@qq.com

Affiliation: Guangdong Communication Planning & Design Institute Group Co., Ltd, Guangzhou, China

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Research Interests: mechanics and design theory of bridges with high-performance materials, retrofitting of existing bridge structures

Summary

Aging bridge infrastructure worldwide faces increasing challenges associated with material degradation, cumulative damage, and evolving traffic and environmental loads. Ensuring the safety, serviceability, and sustainability of in-service bridges requires reliable performance assessment methods and effective strengthening technologies. In recent years, rapid advancements in structural health monitoring (SHM), data-driven analytics, and intelligent sensing systems have significantly enhanced the capability to evaluate structural conditions in real time and predict long-term performance.

This Special Issue aims to present recent advances in the assessment of in-service bridge performance and the development of innovative strengthening and rehabilitation techniques. Topics of interest include, but are not limited to, condition assessment methodologies, reliability and durability evaluation, digital twin and data-driven approaches, non-destructive testing, structural identification, and life-cycle performance analysis. Contributions addressing novel materials, smart strengthening systems, and resilient retrofit strategies are particularly encouraged. Integration of artificial intelligence, big data, and sensing technologies for decision-making and maintenance optimization is also within the scope.

The objective of this Special Issue is to provide a comprehensive platform for researchers and practitioners to share cutting-edge research and practical solutions, ultimately promoting safer, smarter, and more sustainable bridge infrastructure systems.

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