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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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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. |
format | Online Article Text |
id | pubmed-3830814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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