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A Study on the Effects of Damage Models and Wavelet Bases for Damage Identification and Calibration in Beams
Author(s) -
Pakrashi Vikram,
O'Connor Alan,
Basu Biswajit
Publication year - 2007
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2007.00510.x
Subject(s) - wavelet , calibration , noise (video) , curvature , basis (linear algebra) , computer science , identification (biology) , structural engineering , acoustics , statistics , mathematics , artificial intelligence , engineering , physics , geometry , image (mathematics) , botany , biology
Abstract: Damage detection and calibration in beams by wavelet analysis involve some key factors such as the damage model, the choice of the wavelet function, the effects of windowing, and the effects of masking due to the presence of noise during measurement. A numerical study has been performed in this article addressing these issues for single and multispan beams with an open crack. The first natural modeshapes of single and multispan beams with an open crack have been simulated considering damage models of different levels of complexity and analyzed for different crack depth ratios and crack positions. Gaussian white noise has been synthetically introduced to the simulated modeshape and the effects of varying signal‐to‐noise ratio have been studied. A wavelet‐based damage identification technique has been found to be simple, efficient, and independent of damage models and wavelet basis functions, once certain conditions regarding the modeshape and the wavelet bases are satisfied. The wavelet‐based damage calibration is found to be dependent on a number of factors including damage models and the basis function used in the analysis. A curvature‐based calibration is more sensitive than a modeshape‐based calibration of the extent of damage.