A comparative study on seismic fragility analysis of RC frame structures with consideration of modeling uncertainty under far-field and near-field ground motion excitation
Autor: | Zheng Wang, Baoyin Sun, Xinyu Ouyang, Yantai Zhang, Yongan Shi |
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Rok vydání: | 2021 |
Předmět: |
Hydrogeology
business.industry Computer science Frame (networking) Building and Construction Structural engineering Geotechnical Engineering and Engineering Geology Confidence interval Geophysics Fragility Limit state design Sensitivity (control systems) Limit (mathematics) business Intensity (heat transfer) Civil and Structural Engineering |
Zdroj: | Bulletin of Earthquake Engineering. 20:1455-1487 |
ISSN: | 1573-1456 1570-761X |
DOI: | 10.1007/s10518-021-01254-2 |
Popis: | Based on the first-order second-moment method, a comparative study on seismic fragility analysis with consideration of modeling uncertainty is carried out for a 12-story reinforced concrete frame structure under excitation with far-field and pulse-like near-field ground motions by using the multiple stripes analysis method. The sensitivity of the median fragility capacity of the building to fourteen parameters in the cases of three limit states (i.e., immediate occupancy, life safety, and collapse prevention) is analysed, and the effect of the selection of ground motion intensity measures on the determination of modeling uncertainty is investigated. Finally, the annual probabilities of exceeding each limit state with different confidence levels are calculated, and two methods, the mean estimates approach and the confidence interval method, are used to incorporate uncertainties. The results show that the characteristics of ground motions affect the sensitivity of the median capacity to the disturbance of structural parameters. The modeling uncertainty estimated in the near-field records is meaningfully less than that in the far-field records. Judging from this limited case study, the modeling uncertainty estimated may be underestimated by using an inefficient IM. The influence of the modeling uncertainty in the fragility analysis for each limit state cannot be ignored when using the confidence interval method. |
Databáze: | OpenAIRE |
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