Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model
With the increase of the long-span bridge, the damage of the long-span bridge hanger has attracted more and more attention. Nowadays, the probability statistics method based on Bayes’ theorem is widely used for evaluating the damage of bridge, that is, Bayesian inference. In this study, the damage e...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/9947727 |
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| author | Yang Ding Jing-liang Dong Tong-lin Yang Zhong-ping Wang Shuang-xi Zhou Yong-qi Wei An-ming She |
| author_facet | Yang Ding Jing-liang Dong Tong-lin Yang Zhong-ping Wang Shuang-xi Zhou Yong-qi Wei An-ming She |
| author_sort | Yang Ding |
| collection | DOAJ |
| description | With the increase of the long-span bridge, the damage of the long-span bridge hanger has attracted more and more attention. Nowadays, the probability statistics method based on Bayes’ theorem is widely used for evaluating the damage of bridge, that is, Bayesian inference. In this study, the damage evaluation model of bridge hanger is established based on Bayesian inference. For the damage evaluation model, the analytical expressions for calculating the weights by finite mixture (FM) method are derived. In order to solve the complex analytical expressions in damage evaluation model, the Metropolis-Hastings (MH) sampling of Markov chain Monte Carlo (MCMC) method was used. Three case studies are adopted to demonstrate the effect of the initial value and the applicability of the proposed model. The result suggests that the proposed model can evaluate the damage of the bridge hanger. |
| format | Article |
| id | doaj-art-8a745d7325234d37aa4d20ec2284127b |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-8a745d7325234d37aa4d20ec2284127b2025-02-03T05:49:17ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422021-01-01202110.1155/2021/99477279947727Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical ModelYang Ding0Jing-liang Dong1Tong-lin Yang2Zhong-ping Wang3Shuang-xi Zhou4Yong-qi Wei5An-ming She6Department of Civil Engineering, Zhejiang University, Hangzhou 310058, ChinaSchool of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, ChinaCollege of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, ChinaKey Laboratory of Advanced Civil Engineering Materials of Ministry of Education, Tongji University, Shanghai 201804, ChinaSchool of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, ChinaSchool of Materials Science and Engineering, Tongji University, Shanghai 201804, ChinaKey Laboratory of Advanced Civil Engineering Materials of Ministry of Education, Tongji University, Shanghai 201804, ChinaWith the increase of the long-span bridge, the damage of the long-span bridge hanger has attracted more and more attention. Nowadays, the probability statistics method based on Bayes’ theorem is widely used for evaluating the damage of bridge, that is, Bayesian inference. In this study, the damage evaluation model of bridge hanger is established based on Bayesian inference. For the damage evaluation model, the analytical expressions for calculating the weights by finite mixture (FM) method are derived. In order to solve the complex analytical expressions in damage evaluation model, the Metropolis-Hastings (MH) sampling of Markov chain Monte Carlo (MCMC) method was used. Three case studies are adopted to demonstrate the effect of the initial value and the applicability of the proposed model. The result suggests that the proposed model can evaluate the damage of the bridge hanger.http://dx.doi.org/10.1155/2021/9947727 |
| spellingShingle | Yang Ding Jing-liang Dong Tong-lin Yang Zhong-ping Wang Shuang-xi Zhou Yong-qi Wei An-ming She Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model Advances in Materials Science and Engineering |
| title | Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model |
| title_full | Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model |
| title_fullStr | Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model |
| title_full_unstemmed | Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model |
| title_short | Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model |
| title_sort | damage evaluation of bridge hanger based on bayesian inference analytical model |
| url | http://dx.doi.org/10.1155/2021/9947727 |
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