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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/427072 |
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| _version_ | 1850220390587039744 |
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| author | Yubo Jiao Hanbing Liu Peng Zhang Xianqiang Wang Haibin Wei |
| author_facet | Yubo Jiao Hanbing Liu Peng Zhang Xianqiang Wang Haibin Wei |
| author_sort | Yubo Jiao |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-7ac894baa2364941b23f7d08849d8a01 |
| institution | OA Journals |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-7ac894baa2364941b23f7d08849d8a012025-08-20T02:07:05ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/427072427072Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field DataYubo Jiao0Hanbing Liu1Peng Zhang2Xianqiang Wang3Haibin Wei4College of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaPerformance 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.http://dx.doi.org/10.1155/2013/427072 |
| spellingShingle | Yubo Jiao Hanbing Liu Peng Zhang Xianqiang Wang Haibin Wei Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2013/427072 |
| work_keys_str_mv | AT yubojiao unsupervisedperformanceevaluationstrategyforbridgesuperstructurebasedonfuzzyclusteringandfielddata AT hanbingliu unsupervisedperformanceevaluationstrategyforbridgesuperstructurebasedonfuzzyclusteringandfielddata AT pengzhang unsupervisedperformanceevaluationstrategyforbridgesuperstructurebasedonfuzzyclusteringandfielddata AT xianqiangwang unsupervisedperformanceevaluationstrategyforbridgesuperstructurebasedonfuzzyclusteringandfielddata AT haibinwei unsupervisedperformanceevaluationstrategyforbridgesuperstructurebasedonfuzzyclusteringandfielddata |