Submission Deadline: 30 June 2027 View: 109 Submit to Special Issue
Prof. Dr. Shuling Hu
Email: shuling.hu@seu.edu.cn
Affiliation: School of Civil Engineering, Southeast University, Nanjing, China
Research Interests: machine learning-aided structural design, performance-based earthquake engineering, numerical modeling, computational mechanics, structural dynamics, seismic resilience
Assoc. Prof. Dr. Zhongxiang Liu
Email: zhongxiang@seu.edu.cn
Affiliation: School of Transportation, Southeast University, Nanjing, China
Research Interests: structural health monitoring and data-/physics-driven assessment, structural fluid dynamic modellingand control, multiscale modeling and simulation of structures, applications of artificial intelligence methods in civil and ocean engineering
Dr. Qun He
Email: qun19.he@connect.polyu.hk
Affiliation: Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hong Kong, China
Research Interests: multiscale modeling, constitutive modeling, computational mechanics, seismic resilience
Rapid urbanization, climate change, aging infrastructure, and increasing exposure to earthquakes, wind, fire, floods and other hazards are placing unprecedented demands on civil structures. Meanwhile, advances in sensing, digital twins, computational mechanics, artificial intelligence and optimization are reshaping how structures are modeled, assessed and managed. Intelligent civil structures integrate physical systems with data, models and decision-making algorithms, enabling more reliable prediction, adaptive control and resilience-oriented design across the life cycle. This Special Issue aims to provide a focused forum for recent advances in computational modeling and resilience optimization of intelligent civil structures. It welcomes high-quality original research and review papers that develop, validate or apply advanced numerical, data-driven, physics-informed and hybrid computational methods for structural analysis, performance assessment, damage diagnosis, lifecycle prediction, risk-informed decision-making and multi-hazard resilience enhancement. Both theory-driven methodological contributions and application-oriented studies addressing buildings, bridges, lifeline systems, underground structures, offshore/renewable energy infrastructure and smart cities are encouraged.
Potential themes include, but are not limited to:
· multi-scale and multi-physics modeling of civil structures;
· AI, machine learning and physics-informed modeling;
· digital twins and structural health monitoring;
· uncertainty quantification, reliability and risk assessment;
· resilience-based design and optimization;
· intelligent vibration/seismic control;
· surrogate modeling and high-performance simulation;
· lifecycle performance and decision support;
· computational approaches for climate-adaptive, sustainable and resilient infrastructure.
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