Structural Health Monitoring/Management (SHM) in Aerospace Structures

Structural Health Monitoring/Management (SHM) in Aerospace Structures has made significant progress in the last twenty years, focusing on how SHM techniques can be applied to aircraft, mechanical, and civil engineering structures with particular emphasis on composite materials. It is a valuable reference resource for R&D managers, materials scientists, engineers, researchers, and system designers.

Format: Paperback / softback
Length: 534 pages
Publication date: 01 May 2024
Publisher: Elsevier - Health Sciences Division

Structural Health Monitoring/Management (SHM) in Aerospace Structures presents a remarkable overview of the significant advancements achieved in the field of Structural Health Monitoring (SHM) Management over the past two decades. This multidisciplinary domain encompasses a wide range of areas, including smart materials, sensors, and actuators, damage diagnosis and prognosis, signal and image processing algorithms, wireless intelligent sensing, data fusion, and energy harvesting.

The primary focus of this book is on exploring the application of SHM techniques to aircraft, mechanical, and civil engineering structures, with a special emphasis on composite materials. It serves as a valuable reference resource for R&D managers, materials scientists, engineers, researchers, system designers, and academia and government research agencies engaged in developing new systems for the SHM of aerospace, mechanical, and civil engineering structures.

Within the SHM field, there has been a remarkable surge in research and development efforts, leading to the development of innovative technologies and methodologies. Smart materials, such as self-healing and self-sensing materials, have gained significant attention as they offer the potential to enhance the durability and reliability of structures. Sensors and actuators have also evolved, enabling real-time monitoring and control of structures. Damage diagnosis and prognosis techniques, including acoustic emission, strain gauge, and optical methods, have become more accurate and efficient, enabling early detection and mitigation of structural issues.

Signal and image processing algorithms have played a pivotal role in SHM by enabling the extraction of valuable information from structural data. These algorithms include pattern recognition, machine learning, and data mining techniques, which have the ability to analyze large amounts of data and identify patterns that indicate the presence of damage or degradation. Wireless intelligent sensing has revolutionized SHM by providing remote monitoring and data collection capabilities, eliminating the need for wired connections. Data fusion and energy harvesting have emerged as key areas of research, aimed at integrating SHM with other technologies such as renewable energy systems and smart grids.

The book is organized into five chapters, each covering a specific aspect of SHM. The first chapter provides an introduction to the field, including its historical background, applications, and challenges. The second chapter focuses on smart materials and their role in SHM. The third chapter explores sensors and actuators, their design, and their applications in SHM. The fourth chapter discusses damage diagnosis and prognosis techniques, including acoustic emission, strain gauge, and optical methods. The fifth chapter explores data fusion and energy harvesting, and their potential applications in SHM.

In conclusion, Structural Health Monitoring/Management (SHM) in Aerospace Structures provides a comprehensive and up-to-date overview of the progress made in the field of SHM Management over the past two decades. It serves as a valuable resource for researchers, engineers, and practitioners working in the aerospace sector, as well as in other industries that rely on structural health monitoring. The book's emphasis on the application of SHM techniques to composite materials makes it particularly relevant to the aerospace industry, where the use of lightweight and durable materials is critical. With its comprehensive coverage of transdisciplinary areas, this book is expected to have a significant impact on the future of SHM and its applications in various engineering disciplines.

Dimension: 229 x 152 (mm)
ISBN-13: 9780443154768