Le Thanh Cuong – författare

This book features selected papers from the 4th International Conference on Structural Health Monitoring & Engineering Structures (SHM&ES), held in Nha Trang City, Vietnam, on August 7–8, 2025. It highlights recent advancements in structural health monitoring, damage detection and assessment, non-destructive testing, inverse problems, optimization, artificial neural networks, engineering management, and architectural innovations. Key topics include innovative structural designs aimed at reducing energy consumption and CO2 emissions, as well as emerging techniques for structural damage diagnosis. The conference also covers applications in industrial engineering, theoretical and analytical methods, numerical simulations, and experimental approaches. Moreover, discussions address management strategies for sustainable development, emphasizing the integration of sustainability into engineering practices to prioritize environmental and social responsibilities alongside technological innovation. The book is a valuable resource for researchers and professionals engaged in the health monitoring and sustainable development of engineering structures.

This book features selected papers from the 4th International Conference on Structural Health Monitoring & Engineering Structures (SHM&ES), held in Nha Trang City, Vietnam, on August 7–8, 2025. It highlights recent advancements in structural health monitoring, damage detection and assessment, non-destructive testing, inverse problems, optimization, artificial neural networks, engineering management, and architectural innovations. Key topics include innovative structural designs aimed at reducing energy consumption and CO2 emissions, as well as emerging techniques for structural damage diagnosis. The conference also covers applications in industrial engineering, theoretical and analytical methods, numerical simulations, and experimental approaches. Moreover, discussions address management strategies for sustainable development, emphasizing the integration of sustainability into engineering practices to prioritize environmental and social responsibilities alongside technological innovation. The book is a valuable resource for researchers and professionals engaged in the health monitoring and sustainable development of engineering structures.

The book presents the select proceedings of International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020. It brings together different applied and technological aspects of structural health monitoring. The main topics covered in this book include damage assessment, structural health monitoring, engineering fracture mechanics, Inverse problem using optimization techniques, machine learning, deep learning, Artificial intelligent and non-destructive evaluation. It will be a reference for professionals and students in the areas of civil engineering, applied natural sciences and engineering management.

The book presents the select proceedings of International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020. It brings together different applied and technological aspects of structural health monitoring. The main topics covered in this book include damage assessment, structural health monitoring, engineering fracture mechanics, Inverse problem using optimization techniques, machine learning, deep learning, Artificial intelligent and non-destructive evaluation. It will be a reference for professionals and students in the areas of civil engineering, applied natural sciences and engineering management.

This book presents the select proceedings of the 3rd International Conference on Structural Health Monitoring & Engineering Structures (SHM&ES 2023). It covers the recent advances in the fields related to structural health monitoring, damage detection and assessment, non-destructive testing, inverse problems, optimization, artificial neural networks, and evaluation. This book is useful for researchers and professionals working in the field of health monitoring of engineering structures.