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Research on parameter identification of shaking table systems based on the RLS method

It is difficult to accurately establish a model of the real mesa system. Furthermore, a model of a seismic simulation vibration table array system is critical to increasing the accuracy of seismic testing in laboratory settings. Herein a model of the nine subarray shaking table system is identified...

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Autores principales: Gao, Chunhua, Yang, Yanping, Qin, Mengyuan, Li, Cun, Yuan, Zihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797076/
https://www.ncbi.nlm.nih.gov/pubmed/36576934
http://dx.doi.org/10.1371/journal.pone.0279092
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author Gao, Chunhua
Yang, Yanping
Qin, Mengyuan
Li, Cun
Yuan, Zihan
author_facet Gao, Chunhua
Yang, Yanping
Qin, Mengyuan
Li, Cun
Yuan, Zihan
author_sort Gao, Chunhua
collection PubMed
description It is difficult to accurately establish a model of the real mesa system. Furthermore, a model of a seismic simulation vibration table array system is critical to increasing the accuracy of seismic testing in laboratory settings. Herein a model of the nine subarray shaking table system is identified by recursive extension of the least square method, which is used to accurately identify the structure parameters by simulation of the structure assuming a single degree-of-freedom. Then, through the displacement of the empty shaking table and the application of the recursive least squares algorithm, the model of the seismic simulation vibration table array is established. Through this study, the vibration table model of different construction forms can be obtained, and the parameters that are difficult to measure for some complex structures can effectively be determined.
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spelling pubmed-97970762022-12-29 Research on parameter identification of shaking table systems based on the RLS method Gao, Chunhua Yang, Yanping Qin, Mengyuan Li, Cun Yuan, Zihan PLoS One Research Article It is difficult to accurately establish a model of the real mesa system. Furthermore, a model of a seismic simulation vibration table array system is critical to increasing the accuracy of seismic testing in laboratory settings. Herein a model of the nine subarray shaking table system is identified by recursive extension of the least square method, which is used to accurately identify the structure parameters by simulation of the structure assuming a single degree-of-freedom. Then, through the displacement of the empty shaking table and the application of the recursive least squares algorithm, the model of the seismic simulation vibration table array is established. Through this study, the vibration table model of different construction forms can be obtained, and the parameters that are difficult to measure for some complex structures can effectively be determined. Public Library of Science 2022-12-28 /pmc/articles/PMC9797076/ /pubmed/36576934 http://dx.doi.org/10.1371/journal.pone.0279092 Text en © 2022 Gao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gao, Chunhua
Yang, Yanping
Qin, Mengyuan
Li, Cun
Yuan, Zihan
Research on parameter identification of shaking table systems based on the RLS method
title Research on parameter identification of shaking table systems based on the RLS method
title_full Research on parameter identification of shaking table systems based on the RLS method
title_fullStr Research on parameter identification of shaking table systems based on the RLS method
title_full_unstemmed Research on parameter identification of shaking table systems based on the RLS method
title_short Research on parameter identification of shaking table systems based on the RLS method
title_sort research on parameter identification of shaking table systems based on the rls method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797076/
https://www.ncbi.nlm.nih.gov/pubmed/36576934
http://dx.doi.org/10.1371/journal.pone.0279092
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