Multiple damage detections in plate-like structures using curvature mode shapes and gapped smoothing method

Published on 2019-05-06T12:00:00Z (GMT) by
<div><p>The engineering communities are using vibration-based damage identification techniques for structural damage detection since many years. Whenever a damage or crack occurs in the structure, then it loses its stiffness, which alters the vibrational characteristics of the structure. In vibration-based damage identification techniques, the change in vibrational characteristics is used for detection of damages in the structure. In this work, the multiple damage detection in the plate structure has been performed by curvature mode shapes along with filtering technique of gapped smoothing method for getting better results of multiple damage detection. For implementation of this modified technique, a plate-like structure with different damage scenarios has been considered. Mode shape data of damaged plate structure are taken using ANSYS Parametric Design Language finite element software. The obtained mode shape data are further analyzed in MATLAB to localize the damage by generating a damage index. To examine the efficiency of gapped smoothing method, the simulated data are further contaminated with various noise levels. Overall, this work presents the minimization of noise level in measurement data for multiple damage detection in two-dimensional plate structures by curvature mode shape method along with filtering technique of gapped smoothing method.</p></div>

Cite this collection

Ahmad, Saeed; Waleed, Aashir; Virk, Umar Siddique; Riaz, Muhammad Tanveer; Sharjeel, Aamish; Ahmad, Nasir (2019): Multiple damage detections in plate-like structures using curvature mode shapes and gapped smoothing method. SAGE Journals. Collection. https://doi.org/10.25384/SAGE.c.4497698.v1