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Coupled Damage Precursor Detection
Volume 2: Integrated System Design and Implementation; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting, 2015This conceptual research focuses on identifying damage precursors in carbon fiber reinforced polymer laminates. By coupling integrated in situ sensing elements (magnetostrictive particles) and multi-scale ultrasonic inspection (Quantitative Ultrasonic Imaging) with minimum hardware the authors are able to capture and gain an understanding of damage ...
Oliver J. Myers, Sourav Banerjee
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Damage detection using wavelets
SPIE Proceedings, 2003In the current work, an algorithm based on wavelet transformations is used to detect damage prior to the degradation of structural parameters of plates. Plates are of interest because they are basic building blocks for many structures, such as naval ships.
Stephanie A. Wimmer +1 more
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Damage detection in a suspension bridge model using the interpolation damage detection method
2012Herein the feasibility of a damage detection and localization method (the Interpolation Damage Detection Method) is investigated for damage detection of long span suspension bridges. Based on the response induced by wind loading, a 'signature' of the structure in the intact state is obtained in terms of the power spectral densities of responses along ...
DOMANESCHI, MARCO +2 more
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Earthquake Engineering and Engineering Vibration, 2022
Lingxin Zhang, Junkai Shen, Baijie Zhu
semanticscholar +1 more source
Lingxin Zhang, Junkai Shen, Baijie Zhu
semanticscholar +1 more source
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
Comput. Aided Civ. Infrastructure Eng., 2017Y. Cha, Wooram Choi, O. Büyüköztürk
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Recent advances in damage detection of wind turbine blades: A state-of-the-art review
Renewable & Sustainable Energy Reviews, 2022Panida Kaewniam +4 more
semanticscholar +1 more source
Bayesian‐optimized unsupervised learning approach for structural damage detection
Comput. Aided Civ. Infrastructure Eng., 2021Kareem A. Eltouny, Xiao Liang
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