Infrastructure Resilience Enhancement Empowered by Intelligent Perception and Advanced Algorithms

Submission Deadline: 30 November 2026 View: 226 Submit to Special Issue

Guest Editors

Prof. Dr. Yang Zhang

Email: yangzhangdr@126.com

Affiliation: School of Qilu Transportation, Institute of Geotechnical and Underground Engineering, Shandong University, Jinan, 250061, China

Homepage:

Research Interests: structural health monitoring, artificial intelligence

Prof. Dr. Xinyu Jia

Email: xinyujia@hebut.edu.cn

Affiliation: School of Engineering and Design, Technische Universität München (TUM), Munich 80333, Germany

Homepage:

Research Interests: bayesian inference for physics–data fusion modeling, uncertainty quantification for structural reliability, intelligent structure health monitoring

Dr. Lei Kou

Email: lei.kou@sdu.edu.cn

Affiliation: School of Qilu Transportation, Institute of Geotechnical and Underground Engineering, Shandong University, Jinan, 250061, China

Homepage:

Research Interests: smart engineering and intelligent operations, long-term  infrastructure defect detection, damage prediction based on large-scale data

Dr. Aohui Ouyang

Email: 121100255@umail.ucc.ie

Affiliation: School of Civil, Structural and Environmental Engineering, University College Cork, Cork, T12 K8AF, Ireland

Homepage:

Research Interests: innovative monitoring of underground infrastructure

Summary

This special issue focuses on the cutting-edge role of intelligent sensing and advanced algorithms in enhancing the resilience of transportation infrastructure. Faced with the compounding challenges of increasing loads, environmental erosion, and extreme events, the limitations of traditional civil engineering operation and maintenance models are becoming increasingly apparent. We are moving toward a new paradigm driven by data and intelligence. This special issue aims to systematically explore how advanced sensing technologies—including fiber optic sensing, robotics, and drones—can establish all-weather, multidimensional perception capabilities for road, bridge, and tunnel structures and their external environments. It also delves into leveraging cutting-edge algorithms like artificial intelligence and machine learning to perform deep mining, intelligent diagnostics, and predictive analysis on the resulting massive datasets. Ultimately, the convergence of these technologies will empower a leap in infrastructure resilience, enabling not only real-time health assessment but also early risk warning, adaptive disturbance response, and support for rapid repair decision-making post-damage. This will propel the industry from passive maintenance toward proactive immunity, and from static design toward dynamic evolution, laying the core foundation for building safer, more durable, and sustainable future transportation systems. This special issue invites submissions on topics including but not limited to:
· Advanced Perception Technologies and Intelligent Sensor Networks
· Intelligent Algorithms and Data-Driven Modeling
· Infrastructure Resilience Assessment and Smart Operations & Maintenance
· Next-Generation Intelligent Self-Perceiving Infrastructure

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