Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61545
Title: Hybrid computational strategy for structural damage detection with short-term monitoring data
Authors: Ni, PH
Law, SS
Issue Date: 2016
Source: Mechanical systems and signal processing, 2016, v. 70-71, p. 650-663
Abstract: The scenario of damage detection of a structure without permanent structural health monitoring system is explored. Dynamic responses are collected from different measurement setups and excitations in different regions of a structure. All the measured data are analyzed together in the proposed strategy with consideration of the different excitations. Local damages in terms of physical structural parameters are evaluated from the direct analysis using the Pattern Search method with a hybrid parallel computing strategy using CPU and GPU instead of the usual inverse analysis. The objective function is the difference between the measured and calculated responses from an updated finite element model of the structure. The proposed approach is illustrated with a plane frame structure with different tests and measurements in three regions. The effect of the size of the Generating Matrix of the Pattern Search method is also investigated and discussed. There is noted and improved computation efficiency when a large Generating Matrix with 2000 columns is used. The simulations illustrate the feasibility of using a few sensors for the damage detection of a large-scale structure with short-term monitoring data.
Keywords: Damage detection
Parallel computing
Pattern Search
Short-term monitoring
Wavelet
Publisher: Academic Press
Journal: Mechanical systems and signal processing 
ISSN: 0888-3270
EISSN: 1096-1216
DOI: 10.1016/j.ymssp.2015.09.031
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