Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures provides readers with the spectacular progress that has taken place over the last twenty years with respect to the area of Structural Health Monitoring (SHM) Management. The SHM field encompasses transdisciplinary areas, including smart materials, sensors and actuators, damage diagnosis and prognosis, signal and image processing algorithms, wireless intelligent sensing, data fusion, and energy harvesting. This book focuses on how SHM techniques can be applied to aircraft, mechanical and civil engineering structures with particular emphasis on composite materials.
Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures will be a valuable reference resource for R&D managers, materials scientists and engineers working in the aerospace sector as well as for researchers and system designers working in industry, academia and government research agencies developing new systems for the SHM of aerospace, mechanical and civil engineering structures.
1 Overview of SHM in airline maintenance: Challenges and opportunities2 NDE in metal additive manufacturing: Survey3 Composite sandwich structures: Damage detection and assessment using ultrasonic guided waves4 Recent advances in loads/strain monitoring: A review5 Overview of phase array technology in SHM6 Advances in FBG sensor systems for SHM of composite aerospace structures7 Ultrasonic wavefield imaging in structural health monitoring: A review8 State-of-the-art in eddy current techniques for damage detection of composite bolted joints9 Self-healing polymers and composites: A review of recent developments10 Using optic fibers for ultrasonic damage detection at high temperatures11 Flextensional piezoelectric energy harvesting technologies for aerospace applications12 Mechanical metamaterials for wave-based SHM and vibration isolation13 Identification of composite material properties by elastic wave propagation methods14 Spatiotemporal fractal manifold learning for vibration-based structural health monitoring15 Nonlinear autoregressive exogenous method for structural health monitoring using ultrasonic guided waves16 A tutorial on digital twin for predictive maintenance