Structural Health Monitoring (SHM) in Aerospace Structures

✍ Scribed by Yuan, Fuh-Gwo

• Publisher: Woodhead Publishing is an imprint of Elsevier
• Year: 2016
• Tongue: English
• Leaves: 493
• Series: Woodhead Publishing series in composites science and engineering no. 68
• Edition: 1
• Category: Library

✦ Synopsis

Structural Health Monitoring (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). The widespread adoption of SHM could both significantly improve safety and reduce maintenance and repair expenses that are estimated to be about a quarter of an aircraft fleet’s operating costs.

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 are applied to aircraft structures with particular emphasis on composite materials, and is divided into four main parts.

Part One provides an overview of SHM technologies for damage detection, diagnosis, and prognosis in aerospace structures. Part Two moves on to analyze smart materials for SHM in aerospace structures, such as piezoelectric materials, optical fibers, and flexoelectricity. In addition, this also includes two vibration-based energy harvesting techniques for powering wireless sensors based on piezoelectric electromechanical coupling and diamagnetic levitation. Part Three explores innovative SHM technologies for damage diagnosis in aerospace structures. Chapters within this section include sparse array imaging techniques and phase array techniques for damage detection. The final section of the volume details innovative SHM technologies for damage prognosis in aerospace structures.

This book serves as a key reference for researchers working within this industry, academic, and government research agencies developing new systems for the SHM of aerospace structures and materials scientists.

• Provides key information on the potential of SHM in reducing maintenance and repair costs
• Analyzes current SHM technologies and sensing systems, highlighting the innovation in each area
• Encompasses chapters on smart materials such as electroactive polymers and optical fibers

✦ Table of Contents

Content:
Related titles,Front Matter,Copyright,List of contributors,Woodhead Publishing Series in Composites Science and Engineering,PrefaceEntitled to full textPart One: SHM technologies for damage detection, diagnosis and prognosis in aerospace structures: application and efficient use1 - Integrated vehicle health management in aerospace structures, Pages 3-31, R.W. Ross
2 - A novel approach for implementing structural health monitoring systems for aerospace structures, Pages 33-56, M.M. Derriso, C.D. McCurry, C.M. Schubert Kabban
3 - Piezoelectric materials for cryogenic and high-temperature applications, Pages 59-93, S.J. Zhang, F. Li, F.P. Yu
4 - Using optical fibers for ultrasonic damage detection in aerospace structures, Pages 95-118, Y. Okabe, Q. Wu
5 - Flexoelectric effect, materials, and structures, Pages 119-148, W. Huang, F.-G. Yuan, X. Jiang
6 - Flexoelectric strain gradient sensing, Pages 149-174, W. Huang, F.-G. Yuan, X. Jiang
7 - Energy harvesting using piezoelectric materials in aerospace structures, Pages 175-212, T.-B. Xu
8 - Magnetic levitation and its application for low frequency vibration energy harvesting, Pages 213-251, S. Palagummi, F.-G. Yuan
9 - Sparse array imaging with guided waves under variable environmental conditions, Pages 255-284, J.E. Michaels
10 - Phased array techniques for damage detection in aerospace structures, Pages 285-306, L. Yu, Z. Tian
11 - Defect detection, classification, and characterization using ultrasound, Pages 307-323, J. Zhang
12 - Non-contact laser ultrasonics for SHM in aerospace structures, Pages 325-352, H. Sohn, P. Liu
13 - Nonlinear ultrasonics for health monitoring of aerospace structures using active sparse sensor networks, Pages 353-392, Z. Su, M. Hong
14 - Space wavenumber and time–frequency analyses for vibration and wave-based damage diagnosis, Pages 393-426, P.F. Pai
15 - Fatigue damage diagnosis and prognosis using electromechanical impedance technique, Pages 429-446, C.-K. Soh, Y.Y. Lim
16 - An energy-based prognostic framework to predict evolution of damage in composite materials, Pages 447-477, M. Chiachío, J. Chiachío, A. Saxena, K. Goebel
Index, Pages 479-495