基于地震动随机合成的地震风险曲线研究
[Abstract]:The traffic performance of traffic network after earthquake is very important to rescue and reconstruction after earthquake. The vulnerability of bridge structure is the key factor to affect the overall connectivity reliability of traffic network. The probabilistic seismic hazard analysis can provide the necessary seismic risk curve and seismic parameters for the vulnerability analysis of bridge structures. Combining the probabilistic seismic hazard analysis with the seismic simulation method which integrates focal propagation path and site conditions in seismology field, the seismic risk curve and seismic parameters are calculated. The research on the connectivity reliability of regional traffic network and the establishment of road network risk model have good interdisciplinary intersections and important engineering significance. Taking a traffic network in a high intensity area of Sichuan Province as an example, the ground motion of a road network area is simulated by means of random synthesis method of limited fault ground motion, and the prediction formula of regional ground motion parameters is established, and the probabilistic seismic hazard analysis method is combined. The seismic risk assessment of bridge nodes in road network is carried out, and the seismic risk curve of each bridge site is given. Firstly, the theoretical method and technical flow of probabilistic seismic hazard analysis based on random synthesis of ground motion are described, and the physical meaning of the parameters required for the synthesis of ground motion is introduced in detail. Considering the uncertainty of the parameters, some key parameters are regarded as random variables, which are randomly generated when the ground motion is synthesized. Taking the traffic network of a high intensity area in Sichuan Province as the research object, the method of choosing the value of each parameter and the characteristics of probability distribution are determined through the regional geological and seismicity data. On the basis of the random synthesis of ground motion at 192 field points in 8 directions in the study area, the prediction formulas of ground motion for PGA and PSA of different periods in the study area are obtained by using Robust regression. And compared with the existing typical earthquake prediction formulas in Sichuan and adjacent areas. Finally, based on the regression prediction formula of ground motion, combined with the probabilistic seismic hazard analysis, Based on the seismic hazard analysis of 40 bridge nodes in the target traffic network, the risk curves of each bridge site are obtained, which are compared with the seismic risk curves obtained from the traditional ground motion prediction formula. The difference between the design parameters of ground motion based on the risk curve and the design parameters of ground motion based on the traditional risk curve is discussed, and the influence on the vulnerability of bridge nodes in different regions and the reliability of the overall connectivity of the road network is also discussed.
【学位授予单位】:西南交通大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:U442.55
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