Smart Monitoring, Digital Twins, and Performance Evolution Analysis of Civil Structures

Submission Deadline: 28 February 2027 View: 74 Submit to Special Issue

Guest Editor(s)

Dr. Ze-Xin Guan

Email: guanzexin@bucea.edu.cn

Affiliation: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

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Research Interests: monitoring and assessment of long-span cable-supported bridges

Dr. Ming-Sheng Xue

Email: xuemingsheng@bucea.edu.cn

Affiliation: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

Homepage:

Research Interests: parameter identification and state assessment of engineering structures

Dr. En-Jian Cai

Email: caienjian@gmail.com

Affiliation: Department of Civil and Earth Resources Engineering, Kyoto University, Kyoto, Japan

Homepage:

Research Interests: computer vision, structural health monitoring

Dr. Xin-Bo Li

Email: lixinbo@bucea.edu.cn

Affiliation: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

Homepage:

Research Interests: structural reliability, performance evolution and assessment of long-span prestressed concrete girder bridges

Prof. Ting-Hua Yi

Email: yth@bucea.edu.cn

Affiliation: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

Homepage:

Research Interests: long-span bridges, big data-driven bridge multi-stage damage diagnosis, time-varying performance assessment and multi-level early warning methods

Summary

The past few decades have witnessed unprecedented growth in global civil infrastructure. As these structures continue in service, the research focus is gradually shifting toward long-term condition assessment and proactive maintenance to ensure their safe and reliable operation throughout their life cycles. In recent years, the rapid development of advanced sensing networks, digital twins, artificial intelligence, and uncertainty quantification methods has provided powerful new tools for the health monitoring and assessment of civil structures (such as bridges, buildings, and tunnels). These technologies have significantly enhanced the capability to detect early-stage hidden damage, reliably assess structural conditions, and accurately track and predict long-term performance evolution trajectories.

This Special Issue aims to report on the latest theoretical advancements, methodological innovations, and engineering applications regarding the smart monitoring and performance evolution of civil structures. Topics of interest include, but are not limited to:
1. Smart sensing and rapid detection technologies;
2. Structural digital twins and model updating;
3. Prediction and assessment of long-term structural performance evolution;
4. Uncertainty quantification and reliability analysis of structures;
5. Case studies and engineering applications.

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