This book provides a systematic overview of recent developments in guided-wave-based structural health monitoring (SHM), covering both theoretical fundamentals and engineering practices. Topics include modeling and simulation, damage signature extraction, compensation for condition-induced variations, excitation-sensing control mechanisms, sensing-array-based damage imaging, probabilistic diagnosis methods, Bayesian-filter-based fusion diagnosis, low-velocity impact monitoring, and SHM reliability evaluation. The book connects the physical behavior of guided waves with practical monitoring requirements in engineering structures, particularly aircraft structures, where reliable online damage monitoring is critical to structural safety and maintenance. Practical case studies are presented throughout the chapters to help readers understand how guided-wave-based SHM methods can be implemented and evaluated in realistic structural monitoring scenarios.

The intended readership includes graduate students, researchers, and engineers working in structural health monitoring, nondestructive evaluation, mechanical and aerospace structures, smart sensing, mechanical engineering, and reliability assessment. The book is suitable both as a graduate-level reference and as a practical research guide for the development and validation of guided-wave-based SHM systems.

Shenfang Yuan, Ph.D., is a Chair Professor at NUAA and serves as the Vice Director of the State Key Laboratory of Mechanics and Control for Aerospace Structures. Her main research interests include structural health monitoring, smart structures, and smart measurement technology. She has authored four books and more than 500 journal papers. She received the SHM Person of the Year Award in 2017, the EWSHM Best Paper Award in 2016, and other honors.

Yuanqiang Ren, Ph.D., is Associate Professor at NUAA. His main research interests include structural health monitoring, smart materials, and smart structures. He has published 38 journal papers. His research has been supported by major funding sources, including the National Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province.

Lei Qiu, Ph.D., Humboldt Research Fellow and Hong Kong Scholar, is a Professor at NUAA and serves as the Director of the Institute of Smart Materials and Structures. His main research interests include aircraft structural health monitoring and management, smart skin, smart sensor and system integration. He has published more than 160 journal papers. He received the China Youth Science and Technology Award, the EWSHM Best Paper Award in 2016, and other honors.