Guest Editors
Assoc. Prof. Xiao Tan
Email: xiaotan@hhu.edu.cn
Affiliation: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 211100, China
Homepage:
Research Interests: structural health monitoring, fiber optic sensors, urban lifelines, intelligent infrastructure, multifunctional construction materials
Prof. Lu Zhang
Email: zhanglu@glut.edu.cn
Affiliation: School of Civil Engineering, Guilin University of Technology, Guilin 541006, China
Homepage:
Research Interests: structural health monitoring and nondestructive evaluation, smart materials and structures, wave propagation, guided ultrasonic waves, and acoustoelasticity, structural resilience and earthquake engineering, acoustic emission
Assoc. Prof. Dan Li
Email: lidan@seu.edu.cn
Affiliation: School of Civil Engineering, Southeast University, Nanjing 210096, China
Homepage:
Research Interests: structural health monitoring and nondestructive evaluation, acoustic emission and ultrasonic testing, smart construction and mantainace, machine learning and data processing
Assoc. Prof. E Chen
Email: chene@hust.edu.cn
Affiliation: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Homepage:
Research Interests: monitoring and assessment of steel corrosion in concrete
Assist. Prof. Li Ai
Email: ail@email.sc.edu
Affiliation: Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA
Homepage:
Research Interests: nondestructive testing, structural health monitoring, bridge load rating, AI for science/engineering, cyber-physical systems, digital twins
Summary
In modern urban environments, the health of structural infrastructure – encompassing roads, bridges, tunnels, and other critical elements – is crucial for the everyday functioning and well-being of city residents. These infrastructures, key to seamless operation and economic vitality, are currently facing challenges from climate change, urbanization, aging, and natural hazards. The development of structural health monitoring (SHM), non-destructive testing (NDT), digital twins, and novel functional construction materials has become critical. Artificial Intelligence (AI) is increasingly central in these areas, offering advanced solutions for real-time monitoring, condition assessment, and ensuring the resilience of these vital infrastructures. The encouraged topics include but are not limited to:
1. Recent advancements in structural health monitoring and sensor technologies.
2. State-of-the-art non-destructive testing methods
3. Digital twins and AI methods relevant to resilient infrastructures.
4. Intelligent constructional materials with self-sensing and adaptive functionalities.
5. Modern data processing techniques for sustainable and recycling material practices.
Keywords
artificial intelligence; advanced sensing and monitoring technologies; non-destructive testing and evaluation; data analysis; intelligent constructional materials
Published Papers
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