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Damage detection and denoising in two-dimensional structures using curvelet transform by wrapping method

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Abstract

The main objectives of this study are to present a vibration-based damage identification method and also a denoising mode shape approach applicable to two-dimensional structures using curvelet transform. For this purpose, the curvelet transform via wrapping method is employed. The reliability of the proposed technique is demonstrated through a verification study by comparing the results of numerical and those of the experimental data in plate structures. Two case studies, one-story and three-story shear walls assuming damages at arbitrary locations, are examined in which different noise levels are included. Good agreement between the simulated and assumed damage in both example is demonstrated. The results confirm the robustness and high performance of the proposed method in detecting the damage in plate structure and eliminating the noises.

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Authors and Affiliations

  1. School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Narmak, Tehran, Iran

    A. Nicknam, M. H. Hosseini & A. Bagheri

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  1. A. Nicknam
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  2. M. H. Hosseini
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  3. A. Bagheri
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Correspondence to M. H. Hosseini.

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Nicknam, A., Hosseini, M.H. & Bagheri, A. Damage detection and denoising in two-dimensional structures using curvelet transform by wrapping method. Arch Appl Mech 81, 1915–1924 (2011). https://doi.org/10.1007/s00419-011-0527-y

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  • DOI: https://doi.org/10.1007/s00419-011-0527-y

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