GLOBAL PROBABILISTIC SEISMIC CAPACITY ANALYSIS OF STRUCTURES THROUGH STOCHASTIC PUSHOVER ANALYSIS
Probabilistic seismic capacity analysis (PSCA) plays an important role in the field of seismic performance evaluation, seismic reliability analysis, seismic fragility analysis, and seismic risk analysis of civil engineering structures. In general, PSCA has two levels of research context: global PSCA and local PSCA. The local PSCA has been studied by numerous research programs; however, the global PSCA has just recently been paid attention to in the field of earthquake engineering and structural engineering. In this paper, in order to build global probabilistic seismic capacity model (GPSCM) of structures considering random system properties, a stochastic pushover analysis (SPA) method is developed, which combines four kinds of approximating methods for estimating statistical moments of complex random function with deterministic pushover analysis. The four random analysis methods include mean value first order second moment (MVFOSM) approach, Monte Carlo simulation (MCS) approach, improved point estimation approach, and Zhou-Nowak numerical integration approach. The methodology proposed is applied in R.C. frame structure. A three-bay and five-storey plane R.C. frame is taken as an example in case study, the global seismic capacity curves of the structure corresponding to four levels of limit states are derived. It is demonstrated by this example that the approach proposed in this paper is an efficient and accurate tool for global probabilistic seismic capacity analysis of structures.
Stochastic Pushover Analysis Global Seismic Capacity MVFOSM Method MCS Method Point Estimation Method Zhou-Nowak Numerical Integration Method
Xiao-Hui Yu Da-Gang Lu Peng-Yan Song Guang-Yuan Wang
School of Civil Engineering, Harbin Institute of Technology, Harbin. China
国际会议
14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）