Modal parameters identification of bridge by improved stochastic subspace identification method with...
Modal parameters identification of bridge by improved stochastic subspace identification method with Grubbs criterion
About this item
Full title
Author / Creator
Zhou, Yulin , Jiang, Xulei , Zhang, Mingjin , Zhang, Jinxiang , Sun, Hao and Li, Xin
Publisher
London, England: SAGE Publications
Journal title
Language
English
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Publication information
Publisher
London, England: SAGE Publications
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More information
Scope and Contents
Contents
In the wind tunnel test of a long-span bridge model, to ensure that the dynamic characteristics of the model can satisfy the test design requirements, it is particularly important to accurately identify the modal parameters of the model. First, the stochastic subspace identification algorithm was used to analyze the modal parameters of the model in...
Alternative Titles
Full title
Modal parameters identification of bridge by improved stochastic subspace identification method with Grubbs criterion
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_44bd33a9961f4d7f8b55c5f7ff371c07
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_44bd33a9961f4d7f8b55c5f7ff371c07
Other Identifiers
ISSN
0020-2940
E-ISSN
2051-8730
DOI
10.1177/0020294021993831
