Intelligent Monitoring and Life-Cycle Management for Enhancing Engineering Structural Durability and Safety

Submission Deadline: 30 September 2026 View: 59 Submit to Special Issue

Guest Editors

Prof. Dr. Yidong Xu

Email: xyd@nit.zju.edu.cn

Affiliation: School of Civil Engineering, NingboTech University, Ningbo, 315100, China

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Research Interests: low-carbon building materials, AI in civil engineering, concrete durability,construction safety

Prof. Dr. Jianghong Mao

Email: jhmao@scu.edu.cn

Affiliation: College of Architecture & Environment, Sichuan University, Chengdu, 610065, China

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Research Interests: structural health monitoring, condition assessment, advanced sensing and monitoring technologies, intelligent constructional materials

Prof. Dr. Bo Li

Email: bo.li@nottingham.edu.cn

Affiliation: Department of Civil Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China

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Research Interests: intelligent constructional materials, structural application of innovative materials

Dr. Kun Fang

Email: scu2019141470178@163.com

Affiliation: College of Architecture & Environment, Sichuan University, Chengdu, 610065, China

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Research Interests: durability evaluation, novel durable intelligent materials

Summary

This Special Issue highlights the cutting-edge role of AI-driven monitoring and intelligent life-cycle management in enhancing the durability and safety of engineering structures. In the face of growing challenges such as increasingly aggressive environmental attack, material aging, and multi-hazard interactions, conventional design approaches and inspection methods often fall short in capturing coupled degradation mechanisms and providing reliable life-cycle performance and risk evaluations.

Organized by the International Science and Technology Cooperation Base for Durability and Safety of Harbor and Marine Engineering Structures, Ministry of Science and Technology, this Special Issue aims to promote intelligent, data-driven frameworks for the durability assessment and safety management of civil infrastructure. By integrating advanced sensing technologies, intelligent materials and AI-powered data analytics, it seeks to facilitate real-time condition assessment, damage detection, predictive maintenance and rapid decision-making for post-damage repair. These efforts are expected to promote a shift from passive maintenance to proactive protection, and from static design to dynamic evolution—laying a solid foundation for constructing safer and more durable engineering structural systems in the future.

Topics of interest include, but are not limited to:
· Structural health monitoring and durability evaluation in complex environments
· Advanced sensing and intelligent perception technologies
· Artificial intelligence and machine learning for anomaly detection, damage identification, and performance forecasting
· Novel durable intelligent materials and protection systems with self-sensing or adaptive capabilities
· Low-carbon and environmentally friendly building materials with integrated structural and functional capabilities
· AI-driven case studies and practical applications for intelligent management of engineering structures

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