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Structural damage detection strategy using correlation functions under inconsistent excitation
Author(s) -
Zhang Muyu,
Schmidt Rüdiger
Publication year - 2014
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201410078
Subject(s) - vibration , modal , structural engineering , structural health monitoring , correlation , computer science , stiffness , noise (video) , correlation function (quantum field theory) , reduction (mathematics) , function (biology) , frame (networking) , biological system , algorithm , acoustics , physics , mathematics , artificial intelligence , engineering , materials science , telecommunications , geometry , spectral density , evolutionary biology , polymer chemistry , image (mathematics) , biology
Structural damage detection using vibration response signals is appealing in recent years since it does not require the identification of the modal parameters or building the structures' finite element model, among which the correlation‐function‐based damage detection methodologies is a novel topic [1]. Beginning with the introduction of the correlation function theory, this paper proposes a new damage detection strategy using the auto correlation function values of vibration response signals of the structure. The maximum value of the auto correlation functions of the vibration responses from different measurement points are used to form the damage index to locate the damage. Differences of the damage index are used to make the damage location more clearly. As in real world applications, structures may undergo different external excitations [2]. Different external excitations are input into the intact and damaged structure. The results from numerical simulation of stiffness reduction detection of a 12‐story frame structure show that the proposed strategy can locate the damage correctly and has a very good anti‐noise ability under inconsistent external excitations. As only the vibration responses before and after damage are used in this damage detection strategy, it can be a useful tool for structural health monitoring. (© 2014 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)