BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses
To reasonably predict the steel box girder reliability considering the dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, this paper firstly adopts the dynamic monitoring extreme stresses of the multiple control points to build th...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/8816459 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559745358102528 |
|---|---|
| author | Yuefei Liu Xueping Fan Guanghong Yang Zhipeng Shang Xiaoxiong Zhao |
| author_facet | Yuefei Liu Xueping Fan Guanghong Yang Zhipeng Shang Xiaoxiong Zhao |
| author_sort | Yuefei Liu |
| collection | DOAJ |
| description | To reasonably predict the steel box girder reliability considering the dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, this paper firstly adopts the dynamic monitoring extreme stresses of the multiple control points to build the Bayesian Dynamic Vine Copula Model (BDVCM) taking into account the dynamic dependence of the multiple monitoring variables through combining the vine copula technique with Bayesian Dynamic Linear Models (BDLM); secondly, with first-order second-moment method and the built BDVCM, the steel box girder reliability, taking into account dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, is predicted; finally, the monitoring data from the five sections of an existing steel box girder were provided to illustrate the proposed model and approach. The analytical results illustrated that the predicted results, without considering the dynamic nonlinear dependence among the failure modes of the multiple monitoring points, are conservative. |
| format | Article |
| id | doaj-art-1da248e22308493fb0510eb6a66e664a |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-1da248e22308493fb0510eb6a66e664a2025-02-03T01:29:18ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/88164598816459BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme StressesYuefei Liu0Xueping Fan1Guanghong Yang2Zhipeng Shang3Xiaoxiong Zhao4Key Laboratory of Mechanics on Disaster and Environment in Western China (Lanzhou University), The Ministry of Education of China, School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, ChinaKey Laboratory of Mechanics on Disaster and Environment in Western China (Lanzhou University), The Ministry of Education of China, School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, ChinaSchool of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, ChinaSchool of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, ChinaSchool of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, ChinaTo reasonably predict the steel box girder reliability considering the dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, this paper firstly adopts the dynamic monitoring extreme stresses of the multiple control points to build the Bayesian Dynamic Vine Copula Model (BDVCM) taking into account the dynamic dependence of the multiple monitoring variables through combining the vine copula technique with Bayesian Dynamic Linear Models (BDLM); secondly, with first-order second-moment method and the built BDVCM, the steel box girder reliability, taking into account dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, is predicted; finally, the monitoring data from the five sections of an existing steel box girder were provided to illustrate the proposed model and approach. The analytical results illustrated that the predicted results, without considering the dynamic nonlinear dependence among the failure modes of the multiple monitoring points, are conservative.http://dx.doi.org/10.1155/2021/8816459 |
| spellingShingle | Yuefei Liu Xueping Fan Guanghong Yang Zhipeng Shang Xiaoxiong Zhao BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses Advances in Civil Engineering |
| title | BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses |
| title_full | BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses |
| title_fullStr | BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses |
| title_full_unstemmed | BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses |
| title_short | BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses |
| title_sort | bdvcm about the steel box girder reliability prediction based on monitoring extreme stresses |
| url | http://dx.doi.org/10.1155/2021/8816459 |
| work_keys_str_mv | AT yuefeiliu bdvcmaboutthesteelboxgirderreliabilitypredictionbasedonmonitoringextremestresses AT xuepingfan bdvcmaboutthesteelboxgirderreliabilitypredictionbasedonmonitoringextremestresses AT guanghongyang bdvcmaboutthesteelboxgirderreliabilitypredictionbasedonmonitoringextremestresses AT zhipengshang bdvcmaboutthesteelboxgirderreliabilitypredictionbasedonmonitoringextremestresses AT xiaoxiongzhao bdvcmaboutthesteelboxgirderreliabilitypredictionbasedonmonitoringextremestresses |