Frequency dependence prediction and parameter identification of rubber bushing
Frequency dependence prediction and parameter identification of rubber bushing
About this item
Full title
Author / Creator
Li, Guang , Wu, Liguang , Zhang, Shuyu and Liu, Fang
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Affected by frequency, amplitude and some other factors, the dynamic mechanical properties of rubber bushing are nonlinear. In order to study the frequency dependence of the rubber bushing, a BP neural network optimized by genetic algorithm (GA-BP neural network) is applied to predict the dynamic stiffness and loss factor under frequency of 61–100...
Alternative Titles
Full title
Frequency dependence prediction and parameter identification of rubber bushing
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b6798834fb96468da2685bda874aa8ad
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6798834fb96468da2685bda874aa8ad
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-04839-2
