2022
DOI: 10.1108/ijsi-04-2022-0057
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On the use of finite differences for vibration-based damage localization in laminated composite plates

Abstract: PurposeLaminated composite materials are a staple of modern material development, with extremely strong fibers being combined with resins to form versatile and efficient engineering structures. However, the advancements in material development must be accompanied by equally advanced methods for damage detection, localization and quantification, as these materials develop inherently unique failure modes. This paper aims to further the study of the use of modal shapes and their spatial derivatives to localize da… Show more

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Cited by 4 publications
(2 citation statements)
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“…In contrast, mode shapes are more sensitive to variations caused by damage and provide the advantage of precisely pinpointing the location of damage, although they are more prone to noise contamination than natural frequencies 27 . Typical mode shape‐based damage identification methods, such as Modal Assurance Criterion (MAC) 28 and Coordinate Modal Assurance Criterion (COMAC), 29 involve comparing mode shape data before and after damage to assess changes. To enhance the sensitivity of damage identification, further processing of mode shapes can yield Mode Shape Curvature (MSC), which has shown promise as a feature for damage identification 30–32 .…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, mode shapes are more sensitive to variations caused by damage and provide the advantage of precisely pinpointing the location of damage, although they are more prone to noise contamination than natural frequencies 27 . Typical mode shape‐based damage identification methods, such as Modal Assurance Criterion (MAC) 28 and Coordinate Modal Assurance Criterion (COMAC), 29 involve comparing mode shape data before and after damage to assess changes. To enhance the sensitivity of damage identification, further processing of mode shapes can yield Mode Shape Curvature (MSC), which has shown promise as a feature for damage identification 30–32 .…”
Section: Introductionmentioning
confidence: 99%
“…The fuzzy controller was successfully modeled and simulated in the MATLAB Simulink environment, enabling the prediction of relative crack location and depth with significantly reduced computational time. Oliveira et al (2023) successfully localized damage in laminated composite rectangular plates using finite element analysis and MATLAB simulation methods, demonstrating superior results compared to conventional mode shapes curvature methods. Khatir et al (2015) investigated an approach for detecting and locating damage in beam structures based on model reduction using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods.…”
mentioning
confidence: 99%