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Structural damage identification method based on uncertain static data

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A non-probabilistic structural damage identification algorithm based on static strain energy (SSE) is presented in this paper. In order to overcome the shortcoming of traditional uncertainty quantification methods in modeling nondeterministic parameters, this paper adopts the non-probabilistic interval analysis approach to deal with the system uncertainties. Once the interval bounds of structural parameters and displacement responses are achieved, this approach can effectively predict the range of SSE by interval parameter perturbation method. Furthermore, a damage criterion, named as SSEPoDE, is proposed by combining SSE with the possibility of damage existence (PoDE). Meanwhile, a simple but effective method to select the best load case in identification process is also presented. A numerical example is provided to demonstrate the applicability and validity of the proposed method and to solve the damage identification problem in engineering.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages7178-7183
Number of pages6
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Externally publishedYes
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Damage identification
  • interval analysis
  • load case
  • static data
  • uncertainty

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