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Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data

Performance evaluation of a bridge is critical for determining the optimal maintenance strategy. An unsupervised bridge superstructure state assessment method is proposed in this paper based on fuzzy clustering and bridge field measured data. Firstly, the evaluation index system of bridge is constru...

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Detalles Bibliográficos
Autores principales: Jiao, Yubo, Liu, Hanbing, Zhang, Peng, Wang, Xianqiang, Wei, Haibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830814/
https://www.ncbi.nlm.nih.gov/pubmed/24288483
http://dx.doi.org/10.1155/2013/427072
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author Jiao, Yubo
Liu, Hanbing
Zhang, Peng
Wang, Xianqiang
Wei, Haibin
author_facet Jiao, Yubo
Liu, Hanbing
Zhang, Peng
Wang, Xianqiang
Wei, Haibin
author_sort Jiao, Yubo
collection PubMed
description Performance evaluation of a bridge is critical for determining the optimal maintenance strategy. An unsupervised bridge superstructure state assessment method is proposed in this paper based on fuzzy clustering and bridge field measured data. Firstly, the evaluation index system of bridge is constructed. Secondly, a certain number of bridge health monitoring data are selected as clustering samples to obtain the fuzzy similarity matrix and fuzzy equivalent matrix. Finally, different thresholds are selected to form dynamic clustering maps and determine the best classification based on statistic analysis. The clustering result is regarded as a sample base, and the bridge state can be evaluated by calculating the fuzzy nearness between the unknown bridge state data and the sample base. Nanping Bridge in Jilin Province is selected as the engineering project to verify the effectiveness of the proposed method.
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spelling pubmed-38308142013-11-28 Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data Jiao, Yubo Liu, Hanbing Zhang, Peng Wang, Xianqiang Wei, Haibin ScientificWorldJournal Research Article Performance evaluation of a bridge is critical for determining the optimal maintenance strategy. An unsupervised bridge superstructure state assessment method is proposed in this paper based on fuzzy clustering and bridge field measured data. Firstly, the evaluation index system of bridge is constructed. Secondly, a certain number of bridge health monitoring data are selected as clustering samples to obtain the fuzzy similarity matrix and fuzzy equivalent matrix. Finally, different thresholds are selected to form dynamic clustering maps and determine the best classification based on statistic analysis. The clustering result is regarded as a sample base, and the bridge state can be evaluated by calculating the fuzzy nearness between the unknown bridge state data and the sample base. Nanping Bridge in Jilin Province is selected as the engineering project to verify the effectiveness of the proposed method. Hindawi Publishing Corporation 2013-10-29 /pmc/articles/PMC3830814/ /pubmed/24288483 http://dx.doi.org/10.1155/2013/427072 Text en Copyright © 2013 Yubo Jiao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jiao, Yubo
Liu, Hanbing
Zhang, Peng
Wang, Xianqiang
Wei, Haibin
Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data
title Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data
title_full Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data
title_fullStr Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data
title_full_unstemmed Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data
title_short Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data
title_sort unsupervised performance evaluation strategy for bridge superstructure based on fuzzy clustering and field data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830814/
https://www.ncbi.nlm.nih.gov/pubmed/24288483
http://dx.doi.org/10.1155/2013/427072
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AT wangxianqiang unsupervisedperformanceevaluationstrategyforbridgesuperstructurebasedonfuzzyclusteringandfielddata
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