Safety Levels of RC Frame Building in Wenchuan County Town

2012 ◽  
Vol 479-481 ◽  
pp. 525-530
Author(s):  
Di Wu ◽  
Yan Xiong

A local and formal RC frame building in Wenchuan dicstrict, named Shuang-he market building which is damaged in 2008 Wenchuan earthquake, is studied by nonlinear finite element method. By using probabilistic seismic demand model (PSDM), the seismic fragility assessment of the RC frame is demonstrated on RC frames. Probabilistic seismic demand model (PSDM) for RC frame structures was built to assess the safety levels of the actual RC frames representative of design and construction practices in the Wenchuan county town. The fragility curves for immediate occupancy, significant damage, and collapse prevention damage levels of the RC frame building are analyzed. The result reveals the safety levels of RC frame building in Wenchuan district before the 2008 Wenchuan earthquake.

2020 ◽  
Vol 19 (1) ◽  
pp. 429-462
Author(s):  
Fabio Romano ◽  
Mohammad S. Alam ◽  
Maria Zucconi ◽  
Marco Faggella ◽  
Andre R. Barbosa ◽  
...  

2012 ◽  
Vol 166-169 ◽  
pp. 2341-2344
Author(s):  
Di Wu ◽  
Yan Xiong

Comparison of the vulnerabilities between former and current RC frame structures after the 2008 Wenchuan earthquake are performed in the paper. Two representative types of RC frame building in Wenchuan county town are studied by nonlinear finite element method (FEM). Probabilistic seismic demand models (PSDM) for RC frame structures is built to assess the safety levels of two representative RC frames in Wenchuan county town. The fragility curves for immediate occupancy (IO), significant damage (SD), and collapse prevention (CP) damage levels of the RC frame building are analyzed. The result indicates the safety levels of current RC frame building in Wenchuan district are well improved compared to the former RC frame building after the 2008 Wenchuan earthquake.


2021 ◽  
Vol 13 (14) ◽  
pp. 7814
Author(s):  
Yinghao Zhao ◽  
Hesong Hu ◽  
Lunhua Bai ◽  
Mengxiong Tang ◽  
Hang Chen ◽  
...  

Seismic fragility analysis is an efficient method to evaluate the structural failure probability during earthquake events. Among the existing fragility analysis methods, the probabilistic seismic demand model (PSDM) and the joint probabilistic seismic demand model (JPSDM) are generally used to compute the component and system fragility, respectively. However, the statistical significance behind the parameters related to the current PSDM and JPSDM are not comparable. Aside from that, when calculating the system fragility, the Monte Carlo sampling (MCS) method is time-consuming. To solve the two flaws, in this paper, the logarithm piecewise functions were used to generate the PSDM and the JPSDM, and the MCS was replaced by the univariate conditioning approximation (UCA) method. The concepts and application procedures of the proposed fragility analysis methods were elaborated first. Then, the UCA method was illustrated in detail. Finally, fragility curves of a steel arch truss case study bridge were generated by the proposed method. The research results indicate the following: (1) the proposed methods unify the data sources and statistical significance of the parameters used in the PSDM and the JPSDM; (2) the logarithmic piecewise function-based PSDM sensitively reflects the changing trend of the component’s demand with the fluctuation of the seismic intensity measure; (3) under transverse seismic waves, major injuries happen on the side bearings of the bridge, while slight damage may occur on each pier, and as the seismic intensity measure increases, the side bearings are more likely to be damaged; (4) for the severe damage and the absolute damage of the studied bridge, the system fragility curves are closer to the upper failure bounds; and (5) compared with the MSC method, the accuracy of the UCA method can be guaranteed with less calculation time.


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