Sustainable and Resilient Civil Infrastructure with Intelligence and Digital Transformation

Submission Deadline: 01 June 2026 View: 452 Submit to Special Issue

Guest Editors

Dr. Zhenkun Li

Email: zhenkun.li@aalto.fi

Affiliation: Department of Civil Engineering, Aalto University, Espoo 02150, Finland

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Research Interests: structural health monitoring, resilience of infrastructures, artificial intelligence in engineering

Dr. Bozhou Zhuang

Email: bzhuang31@gatech.edu

Affiliation: School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

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Research Interests: intelligent structural design, structural health monitoring (SHM), machine/deep learning, generative AI, non-destructive evaluation, nuclear energy structures

Assist. Prof. Liangfu Ge

Email: liangfu.ge@polyu.edu.hk

Affiliation: Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong

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Research Interests: structural health monitoring, structural damage detection, traffic load monitoring, digital twins, automated urban scanning

Assist. Prof. Kun Feng

Email: kun.feng@aru.ac.uk

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

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Research Interests: structural health monitoring, vehicle bridge interaction, signal processing, machine learning

Summary

Facing growing challenges such as climate change, aging assets, and rapid urbanization, the sustainability and resilience of civil infrastructure have become global priorities. Ensuring long-term performance and safety now depends on integrating advanced sensing technologies, intelligent materials, and data-driven approaches grounded in digital transformation. Recent advances in structural health monitoring (SHM), non-destructive testing (NDT), artificial intelligence (AI)-driven analytics, and digital twins are reshaping how infrastructure is assessed and maintained. Meanwhile, smart materials such as self-sensing concretes are enabling real-time responsiveness and adaptability. This Special Issue invites interdisciplinary contributions that explore innovative, intelligent, and digital methods to enhance the sustainability, resilience, and efficiency of civil infrastructure systems.

Topics of interest include but are not limited to:
· Recent advancements in SHM systems, sensors, and networked monitoring frameworks
· AI-based condition assessment, damage detection, and life-cycle prediction
· NDT techniques for sustainable infrastructure inspection
· Digital twin and building information modelling (BIM) integration for infrastructure modelling and maintenance
· Intelligent and functional materials with self-sensing or adaptive capabilities
· Signal processing, data fusion, and cloud-based SHM platforms
· Resilient design strategies and performance-based approaches
· Sustainable material use, recycling, and digital tools for green construction
· Infrastructure resilience to climate-induced stresses and environmental hazards
· Field case studies demonstrating practical deployment of digital and intelligent technologies

Keywords

Published Papers