Structural Health Monitoring/Management (SHM) in Aerospace 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. This will be a valuable reference resource for R&D managers, materials scientists, and engineers working in the aerospace sector, for researchers and system designers working in industry, and for academia and government research agencies developing new systems for the SHM of aerospace, mechanical, and civil engineering structures.
Table of Contents
1 Overview of SHM in airline maintenance: Challenges and opportunities2 NDE in metal additive manufacturing: Survey
3 Composite sandwich structures: Damage detection and assessment using ultrasonic guided waves
4 Recent advances in loads/strain monitoring: A review
5 Overview of phase array technology in SHM
6 Advances in FBG sensor systems for SHM of composite aerospace structures
7 Ultrasonic wavefield imaging in structural health monitoring: A review
8 State-of-the-art in eddy current techniques for damage detection of composite bolted joints
9 Self-healing polymers and composites: A review of recent developments
10 Using optic fibers for ultrasonic damage detection at high temperatures
11 Flextensional piezoelectric energy harvesting technologies for aerospace applications
12 Mechanical metamaterials for wave-based SHM and vibration isolation
13 Identification of composite material properties by elastic wave propagation methods
14 Spatiotemporal fractal manifold learning for vibration-based structural health monitoring
15 Nonlinear autoregressive exogenous method for structural health monitoring using ultrasonic guided waves
16 A tutorial on digital twin for predictive maintenance
Authors
Fuh-Gwo Yuan Professor, Department of Mechanical and Aerospace Engineering, North Carolina State University, USA. Professor Yuan is an internationally renowned expert in the field of structural health monitoring, fracture and life prediction of advanced materials and structures, smart materials and structures, and damage tolerance of composite structures. His research is leading to the development of advanced structural health monitoring systems that will fundamentally impact future design and maintenance of large and complex aerospace, mechanical, and civil structures. These systems will reduce maintenance costs and increase asset availability and extend remaining useful life of structures, such as aircraft and bridges, by providing accurate measurement and prediction of damage and degradation at early stages.He brings more than two decades of experience collaborating with NASA Langley Research Center scientists and engineers to his new role as Langley Professor. His research has played a major role toward the advancement of structural health monitoring systems and the understanding of damage tolerance of composite materials and structures.
