Seismic Fragility Analysis And Probabilistic Risk Analysis Of Steel Frame Structures

Seismic risk is the endangerment brought by earthquake disasters to society and economics in some domains during the future, which reflects the the possible damage to a city, an area, some civil infrastructures systems or even some civil engineering structures. In general, Probability Seismic Risk Analysis (PSRA) includes three aspects, that is, Probability Seismic Hazard Analysis (PSHA), Probability Seismic Fragility Analysis (PSFA) and Seismic Loss Assessment (SLA). PSHA belongs to the scope of engineering seismology, while PSFA is the main research contents of both earthquake engineering and structural engineering. Actually, seismic fragility analysis of civil engineering structures involves many aspects of earthquake engineering and structural engineering, such as earthquake disaster survey, structural performance testing, simulation of engineering earthquake ground motions, earthquake response analysis of engineering structures, seismic reliability analysis of structures, etc. Since the current earthquake prediction is difficult to performed, the analysis of the seismic risk of structures, especially the analysis of the seismic fragility of structures become the main measures of disaster prevention and mitigation. Considering the fact that steel frames have been extensively applied in the high-rise buildings and industry structures recently, in this thesis, the plane steel frame is taken the research objects. On the basis of probabilistic performance assessment framework, the seismic fragility and probabilistic seismic risk of steel frame structures are systematically studied. The main contents of this thesis are as follows.(1) The probabilistic seismic demand analysis method of structures is advanced. Three parameters, that is, the roof displacement angle (RDA), the maximum inter-storey displacement angle (ISDA) and the displacement ductility ratio of structures are taken as the seismic demand measures, while the peak ground acceleration (PGA) is chosen as the intensity measure of earthquakes. Considering all kinds of stochastic influence factors, 100 samples of structures are generated by using Monte Carlo simulation method. 95 artificially generated earthquake waves together with 5 actual earthquake acceleration records are...