Bridge damage identification from moving load induced deflection based on wavelet transform and Lipschitz exponent

Yu, Zhu, Xia, He, Goicolea Ruigómez, José María ORCID: https://orcid.org/0000-0003-0328-7345 and Xia, Chaoyi (2015). Bridge damage identification from moving load induced deflection based on wavelet transform and Lipschitz exponent. "International Journal of Structural Stability and Dynamics", v. 16 (n. 5); pp. 1-22. ISSN 1793-6764. https://doi.org/10.1142/S0219455415500030.

Description

Title: Bridge damage identification from moving load induced deflection based on wavelet transform and Lipschitz exponent
Author/s:
Item Type: Article
Título de Revista/Publicación: International Journal of Structural Stability and Dynamics
Date: 16 February 2015
ISSN: 1793-6764
Volume: 16
Subjects:
Freetext Keywords: Wavelet transform; Lipschitz exponent; moving load; damage identification; experiment
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Mecánica de Medios Continuos y Teoría de Estructuras
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The wavelet transform and Lipschitz exponent perform well in detecting signal singularity.With the bridge crack damage modeled as rotational springs based on fracture mechanics, the deflection time history of the beam under the moving load is determined with a numerical method. The continuous wavelet transformation (CWT) is applied to the deflection of the beam to identify the location of the damage, and the Lipschitz exponent is used to evaluate the damage degree. The influence of different damage degrees,multiple damage, different sensor locations, load velocity and load magnitude are studied.Besides, the feasibility of this method is verified by a model experiment.

More information

Item ID: 41317
DC Identifier: https://oa.upm.es/41317/
OAI Identifier: oai:oa.upm.es:41317
DOI: 10.1142/S0219455415500030
Official URL: http://www.worldscientific.com/doi/10.1142/S021945...
Deposited by: Memoria Investigacion
Deposited on: 28 Jun 2016 13:32
Last Modified: 30 Jan 2023 11:53
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