Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data
This paper presents an improved fragility analysis methodology to estimate structural vulnerability for probabilistic seismic risk assessment. Three main features distinguish this study from previous efforts. Firstly, the updated fragility curves generated are based on experimental measurements and...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/7467920 |
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| _version_ | 1832548049929371648 |
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| author | Yuyao Cheng Jian Zhang Jiajia Wu |
| author_facet | Yuyao Cheng Jian Zhang Jiajia Wu |
| author_sort | Yuyao Cheng |
| collection | DOAJ |
| description | This paper presents an improved fragility analysis methodology to estimate structural vulnerability for probabilistic seismic risk assessment. Three main features distinguish this study from previous efforts. Firstly, the updated fragility curves generated are based on experimental measurements and possess higher accuracy than those produced using design information only. The updated fragility curves take into consideration both the geometry and material properties, as well as long-term health monitoring data, to reflect the current state of the structure appropriately. Secondly, to avoid arbitrariness when selecting ground motions, probabilistic seismic hazard analysis (PSHA) is adopted to provide suggestions for ground motion selection. By considering the uncertainty of the location and intensity of future earthquakes, the PSHA deaggregation result can help to determine the most probable earthquake scenarios for the specific site. Thus, the suggested ground motions are more realistic, and the seismic demand model is much closer to the actual results. Thirdly, this study focuses on the seismic performance evaluation of a typical self-anchored suspension bridge using the form of fragility curves, which has seldom been studied in the literature. The results show that bearing is the most vulnerable part of a self-anchored suspension bridge, while failure probabilities of concrete towers are relatively lower. |
| format | Article |
| id | doaj-art-4925748cb9294c4492e10ab11ebf1ec9 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-4925748cb9294c4492e10ab11ebf1ec92025-02-03T06:42:26ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/74679207467920Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring DataYuyao Cheng0Jian Zhang1Jiajia Wu2School of Civil Engineering, Southeast University, Nanjing 210096, ChinaSchool of Civil Engineering, Southeast University, Nanjing 210096, ChinaSchool of Civil Engineering, Southeast University, Nanjing 210096, ChinaThis paper presents an improved fragility analysis methodology to estimate structural vulnerability for probabilistic seismic risk assessment. Three main features distinguish this study from previous efforts. Firstly, the updated fragility curves generated are based on experimental measurements and possess higher accuracy than those produced using design information only. The updated fragility curves take into consideration both the geometry and material properties, as well as long-term health monitoring data, to reflect the current state of the structure appropriately. Secondly, to avoid arbitrariness when selecting ground motions, probabilistic seismic hazard analysis (PSHA) is adopted to provide suggestions for ground motion selection. By considering the uncertainty of the location and intensity of future earthquakes, the PSHA deaggregation result can help to determine the most probable earthquake scenarios for the specific site. Thus, the suggested ground motions are more realistic, and the seismic demand model is much closer to the actual results. Thirdly, this study focuses on the seismic performance evaluation of a typical self-anchored suspension bridge using the form of fragility curves, which has seldom been studied in the literature. The results show that bearing is the most vulnerable part of a self-anchored suspension bridge, while failure probabilities of concrete towers are relatively lower.http://dx.doi.org/10.1155/2019/7467920 |
| spellingShingle | Yuyao Cheng Jian Zhang Jiajia Wu Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data Advances in Civil Engineering |
| title | Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data |
| title_full | Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data |
| title_fullStr | Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data |
| title_full_unstemmed | Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data |
| title_short | Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data |
| title_sort | fragility analysis of a self anchored suspension bridge based on structural health monitoring data |
| url | http://dx.doi.org/10.1155/2019/7467920 |
| work_keys_str_mv | AT yuyaocheng fragilityanalysisofaselfanchoredsuspensionbridgebasedonstructuralhealthmonitoringdata AT jianzhang fragilityanalysisofaselfanchoredsuspensionbridgebasedonstructuralhealthmonitoringdata AT jiajiawu fragilityanalysisofaselfanchoredsuspensionbridgebasedonstructuralhealthmonitoringdata |