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.
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
Damage signature extraction and assessment Excitation-sensing control mechanisms Sensing array based damage imaging Probabilistic diagnosis methods Bayesian filter fusion diagnosis SHM reliability evaluation methods Modeling and simulation in practice