Abstract
This study presents a comprehensive review of the history of research and development of different damage-detection methods in the realm of composite structures. Different fields of engineering, such as mechanical, architectural, civil, and aerospace engineering, benefit excellent mechanical properties of composite materials. Due to their heterogeneous nature, composite materials can suffer from several complex nonlinear damage modes, including impact damage, delamination, matrix crack, fiber breakage, and voids. Therefore, early damage detection of composite structures can help avoid catastrophic events and tragic consequences, such as airplane crashes, further demanding the development of robust structural health monitoring (SHM) algorithms. This study first reviews different non-destructive damage testing techniques, then investigates vibration-based damage-detection methods along with their respective pros and cons, and concludes with a thorough discussion of a nonlinear hybrid method termed the Vibro-Acoustic Modulation technique. Advanced signal processing, machine learning, and deep learning have been widely employed for solving damage-detection problems of composite structures. Therefore, all of these methods have been fully studied. Considering the wide use of a new generation of smart composites in different applications, a section is dedicated to these materials. At the end of this paper, some final remarks and suggestions for future work are presented.
Highlights
Structural health monitoring (SHM) seeks to perform several tasks, such as damage detection, localisation, and quantification, to maintain the integrity of an entire structure.Comparatively, baseline-dependent SHM techniques need data from both “healthy” and “damaged” states of structure, whereas baseline-independent SHM techniques seek to identify damage through studying structural response to some natural or synthesised forces
The results indicated that Gaussian and reversed bi-orthogonal wavelets were most effective for Continuous WT (CWT)-based damage identification
This review provides a comprehensive research on the different aspects of SHM of composite structures
Summary
Structural health monitoring (SHM) seeks to perform several tasks, such as damage detection, localisation, and quantification, to maintain the integrity of an entire structure. The idea of composite materials was initiated based on mimicking natural materials such as wood They have been widely used ever since their emergence in different fields of engineering, including civil infrastructures as well as the automotive and aerospace industries. There are a variety of failure mechanisms in composite structures, which usually develop either during the manufacturing process, such as design errors and overheating, or while in service, such as static overload, shock, and fatigue [1,2,3]. These mechanisms include fiber failure, buckling, matrix cracking, and delamination. At the end of this study, some updated guidelines for undertaking smart monitoring systems for composite laminate structure are outlined
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