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The book focuses especially on the application of SHM technology to thin walled structural systems made from carbon fiber reinforced plastics. Here, guided elastic waves (Lamb-waves) show an excellent sensitivity to structural damages so that they are in the center of this book. It is divided into 4 sections dealing with analytical, numerical and experimental fundamentals, and subsequently with Lamb-wave propagation in fiber reinforced composites, SHM-systems and signal processing. The book is designed for engineering students as well as for researchers in the field of structural health monitoring and for users of this technology.
The book focuses on the recent technology and advancement in structural integrity and monitoring systems in composite materials. Composites have been widely used in automotive, aerospace and wind turbine industries, therefore it is important to develop state of the art technology to monitor and manage the damage tolerance and durability. This book explores the challenge of a monitoring system in a composite and presents a real-time system which has advantages for damage detection, localization, assessment and life prediction compared to the Non-Destructive Testing (NDT). It will also present the modelling and prediction of failure in a composite material based on computational analysis of the characteristics and properties of the composite material based on fiber and matrix properties. This book will benefit lecturers, students, researchers, engineers and industrialist who are working in the civil, mechanical engineering, automotive, aerospace and wind turbine industries.
Proceedings of the Tenth International Workshop on Structural Health Monitoring, September 1–3, 2015. Selected research on the entire spectrum of structural health techniques and areas of applicationAvailable in print, complete online text download or individual articles. Series book comprising two volumes provides selected international research on the entire spectrum of structural health monitoring techniques used to diagnose and safeguard aircraft, vehicles, buildings, civil infrastructure, ships and railroads, as well as their components such as joints, bondlines, coatings and more. Includes special sections on system design, signal processing, multifunctional materials, sensor distribution, embedded sensors for monitoring composites, reliability and applicability in extreme environments. The extensive contents can be viewed below.
This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
This book covers the basic principle and challenges of structural health monitoring system for natural fibre and the hybrid composites structural materials in industrial applications, such as building, automotive, aerospace and wind turbine. Structural health monitoring (SHM) has become crucial in evaluating the performance of structural application in recent trends, especially since it is in line with the high-tech strategy of Industry 4.0. It is a system that is operated in real time or in an online situation. Hence, it also has advantages for damage detection, damage localisation, damage assessment and life prediction compared to the non-destructive test (NDT) which is conducted offline. The book covers the monitoring of the composite materials in terms of structural properties and damage evaluation through modelling and prediction of failure in composite. It includes recent examples and real-world engineering application to illustrate the understanding of the current technology application. The book benefits lecturers, students, researchers, engineers and industrialist who are working in the civil, aerospace and wind turbine industries.
Strucural Health Monitoring (SHM) is a novel philosophy for an autonomous, built-in nondestructive evalution of structural "health" on demand to reduce life-cycle costs, increase safety and reduce structural weight. This dissertation investigates ultrasonic guided waves, particulary Lamb waves, and their propagation properties as a method to perform Health Monitoring of viscoelastic composite structures.
Due to the increased use of composite materials in aerospace, energy, automobile, and civil infrastructure applications, concern over composite material failures has grown, creating a need for smart composite structures that are able to self-diagnose and self-heal. Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures provides valuable insight into cutting-edge advances in SHM, smart materials, and smart structures. Comprised of chapters authored by leading researchers in their respective fields, this edited book showcases exciting developments in general embedded sensor technologies, general sensor technologies, sensor response interrogation and data communication, damage matrix formulation, damage mechanics and analysis, smart materials and structures, and SHM in aerospace applications. Each chapter makes a significant contribution to the prevention of structural failures by describing methods that increase safety and reduce maintenance costs in a variety of SHM applications.
This book is organized around the various sensing techniques used to achieve structural health monitoring. Its main focus is on sensors, signal and data reduction methods and inverse techniques, which enable the identification of the physical parameters, affected by the presence of the damage, on which a diagnostic is established. Structural Health Monitoring is not oriented by the type of applications or linked to special classes of problems, but rather presents broader families of techniques: vibration and modal analysis; optical fibre sensing; acousto-ultrasonics, using piezoelectric transducers; and electric and electromagnetic techniques. Each chapter has been written by specialists in the subject area who possess a broad range of practical experience. The book will be accessible to students and those new to the field, but the exhaustive overview of present research and development, as well as the numerous references provided, also make it required reading for experienced researchers and engineers.
Structural health monitoring (SHM) is a relatively new and alternative way of non-destructive inspection (NDI). It is the process of implementing a damage detection and characterization strategy for composite structures. The basis of SHM is the application of permanent fixed sensors on a structure, combined with minimum manual intervention to monitor its structural integrity. These sensors detect changes to the material and/or geometric properties of a structural system, including changes to the boundary conditions and system connectivity, which adversely affect the system's performance.This book's primary focus is on the diagnostics element of SHM, namely damage detection in composite structures. The techniques covered include the use of Piezoelectric transducers for active and passive Ultrasonics guided waves and electromechanical impedance measurements, and fiber optic sensors for strain sensing. It also includes numerical modeling of wave propagation in composite structures. Contributed chapters written by leading researchers in the field describe each of these techniques, making it a key text for researchers and NDI practitioners as well as postgraduate students in a number of specialties including materials, aerospace, mechanical and computational engineering.