Abstract:Purpose
Defects can be caused by a number of factors, such as maintenance damage, ground handling and foreign objects thrown up from runways during an in-service use of composite aerospace structures. Sandwich structures are capable of absorbing large amounts of energy under impact loads, resulting in high structural crashworthiness. This situation is one of the many reasons why sandwich structures are extensively used in many aerospace applications nowadays. Their non-destructive inspection is often more comp… Show more
“…Due to simultaneous activation of different damage mechanisms and their interactions, the failure of laminated FRPs is a direct result of events occurring at microstructural levels [3]. This strong interconnection calls for advanced techniques for early detection of both damage initiation and monitoring damage growth, which is essential to assess the state of structures and their residual strength [4].…”
The heterogeneous and anisotropic nature of fiber reinforced polymers induces the initiation of various damage mechanisms at different scales. Even though full-field surface measurements may successfully track damage development, such approaches do not provide insights into the material bulk. The present work aims at comparing surface and bulk fullfield measurements (via Digital Image/Volume Correlation) for a comprehensive analysis of polymer composite damage. Bulk measurements revealed that damage initiated at the microscale, thus contributing to surface localization phenomena. Full-field surface measurements could not capture the local strain states that the constituents were subjected to, which led to final fracture.
“…Due to simultaneous activation of different damage mechanisms and their interactions, the failure of laminated FRPs is a direct result of events occurring at microstructural levels [3]. This strong interconnection calls for advanced techniques for early detection of both damage initiation and monitoring damage growth, which is essential to assess the state of structures and their residual strength [4].…”
The heterogeneous and anisotropic nature of fiber reinforced polymers induces the initiation of various damage mechanisms at different scales. Even though full-field surface measurements may successfully track damage development, such approaches do not provide insights into the material bulk. The present work aims at comparing surface and bulk fullfield measurements (via Digital Image/Volume Correlation) for a comprehensive analysis of polymer composite damage. Bulk measurements revealed that damage initiated at the microscale, thus contributing to surface localization phenomena. Full-field surface measurements could not capture the local strain states that the constituents were subjected to, which led to final fracture.
“…Recently, numerous non-destructive testing (NDT) techniques have been adapted to detect, localize, and identify surface and internal flaws in sandwich structures. These techniques, depending on the industrial conditions, in which a sandwich structure is operated, include visual testing [ 6 ], ultrasonic testing [ 7 , 8 , 9 ], thermography [ 10 , 11 ], eddy-current testing [ 12 ], shearography [ 7 ], guided waves-based techniques [ 1 , 13 , 14 ], electrical impedance [ 15 ], terahertz testing [ 16 ], etc. as well as by various embedded sensors in smart structures [ 17 ].…”
Identification and quantification of structural damage is one of the crucial aspects of proper maintenance of mechanical and civil structures, which is directly related to their integrity and safety. The paper presents a novel approach for detecting various types of damage in sandwich structures by processing the mode shapes using a hybrid algorithm based on the curvelet transform and the standardized damage index concept. The proposed approach uses the properties of directional selectivity, absence of the boundary effect, typical of such a class of transforms, and excellent filtration capabilities of the curvelet transform as well as the classification hypothesis in the standardized damage index, which allows the exclusion of irrelevant information and emphasizes proper damage location and shape. The proposed hybrid algorithm allowed to successfully identify a subsurface core damage in sandwich structures, such as local lack of a core or its debonding from facings. The performed quantification study aimed to evaluate the correctness of identified damage shape confirmed the validity and accuracy of the proposed algorithm not only for the damage detection and localization but also for the estimation of the size of structural damage.
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