Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data
Joint Authors
Cheng, Yuyao
Zhang, Jian
Wu, Jiajia
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-29
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Cheng, Yuyao& Zhang, Jian& Wu, Jiajia. 2019. Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1117069
Modern Language Association (MLA)
Cheng, Yuyao…[et al.]. Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data. Advances in Civil Engineering No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1117069
American Medical Association (AMA)
Cheng, Yuyao& Zhang, Jian& Wu, Jiajia. Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1117069
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117069