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Research On Bridge Damage Identification Method Based On Wavelet Analysis

Posted on:2013-08-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y H XueFull Text:PDF
GTID:2232330395969411Subject:Structural engineering
Abstract/Summary:PDF Full Text Request
In recent years, wavelet analysis of the non-stationary time-frequency analysis has maderapid development, its advantages can not be reached by the Fourier analysis. Using wavelettransform identification damage in mechanical structure is relatively mature,but in civil damagedetection in structural engineering applications less, Therefore, research and development ofcivil engineering structural damage identification method based on wavelet analysis is verymeaningful.This paper briefly describes the development, evolution and its basic concepts and theoriesof the wavelet transform, focuses on the structural abnormalities signal detection andidentification of wavelet. Then we use wavelet transform features and advantages, in-depth studyon wavelet analysis based on structural damage identification of civil engineering theory andmethods, and simulate the simply supported beam has been verified. We use the wavelettransform modulus maxima coefficients occurrence to determine damage location of beam,andfor more difficult to determine the beam area damage, use wavelet coefficients residual asproposed damage index. To determine the extent of the damage, we use Lipschitz exponentobtained at the the modulus maxima of wavelet coefficients and the singularity relationshipbetween Lipschitz exponent and some signal to obtain the degree of damage. The results showthat wavelet transform can accurately identify the location of beam’s damage and injury. Use thesoftware of Midas/Civil to simulate a continuous beam bridge, the results show that residualwavelet coefficients as an indicator can be accurately identified of the damage locationcontinuous beam bridge, and Lipschitz index as an indicator can be use to identify the extent ofinjury continuous bridge.
Keywords/Search Tags:Damage identification, Wavelet theory, Bridge structure, Curvature mode
PDF Full Text Request
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