Structural Health Monitoring, Modeling, and Durability Assessment of Civil Infrastructure under Operational and Environmental Actions

Submission Deadline: 30 April 2027 View: 108 Submit to Special Issue

Guest Editor(s)

Assist. Prof. Zhou Huang

Email: huangzhou@ccsu.edu.cn

Affiliation: School of Civil Engineering, Changsha University, Changsha, China

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Research Interests: structural health monitoring, vehicle bridge interaction, multi-scale damage mechanics

Assist. Prof. Kun Feng

Email: kun.feng@aru.ac.uk

Affiliation: School of Engineering and the Built Environment, Anglia Ruskin University, Peterborough PE1 5BW, United Kingdom

Homepage:

Research Interests: structural health monitoring, vehicle bridge interaction, bridge weigh-in-motion

Dr. Xinrui Wang

Email: xinrui.wang@ljmu.ac.uk

Affiliation: School of Civil Engineering and Built Environment, Liverpool John Moores University, Liverpool, L3 3AF, United Kingdom

Homepage:

Research Interests: structural health monitoring, operational modal analysis, bayesian inference, uncertainty quantification, vibration-based structural assessment

Assist. Prof. Li Ai

Email: li.ai@utrgv.edu

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

Homepage:

Research Interests: structural health monitoring, nondestructive testing/evaluation, damage diagnosis and prognosis

Dr. Zhenkun Li

Email: zhenkun.li@polimi.it

Affiliation: Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milano, Italy

Homepage:

Research Interests: structural health monitoring, damage detection, drive-by inspection, computer vision, pedestrian-sensing, crowdsensing

Summary

Civil infrastructure systems, including bridges, pedestrian bridges, tunnels, transportation corridors, and other load-bearing structures, are exposed to traffic loads, environmental actions, material aging, and complex operational conditions. These factors may accelerate structural degradation, reduce long-term durability, and increase uncertainty in safety assessment and maintenance planning. Reliable durability assessment requires the integration of structural response analysis, damage identification, uncertainty quantification, and lifecycle performance evaluation. Structural health monitoring provides essential information for tracking structural condition, extracting damage-sensitive features, and supporting maintenance-oriented decision-making. Meanwhile, advanced modeling and sensing approaches, such as vehicle–bridge interaction analysis, human-induced vibration assessment, acoustic emission monitoring, Bayesian inference, data-driven methods, physics-guided learning, and digital twins, offer new opportunities for evaluating the safety and durability of civil infrastructure.

This Special Issue aims to collect high-quality studies on structural health monitoring, dynamic response analysis, damage identification, uncertainty quantification, durability assessment, and intelligent maintenance of civil infrastructure. Contributions may include theoretical modeling, numerical simulation, laboratory testing, field monitoring, Bayesian updating, acoustic emission-based damage detection, traffic- and human-induced vibration analysis, fatigue and deterioration assessment, lifecycle performance prediction, and reliability-based decision-making. Particular attention will be given to studies that connect monitored responses, physical mechanisms, and data-driven interpretation with durability-oriented assessment and maintenance strategies.

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