PROBABILISTIC SEISMIC DEMAND ANALYSIS CONSIDERING RANDOM SYSTEM PROPERTIES BY AN IMPROVED CLOUD METHOD
Probabilistic seismic demand analysis (PSDA) is an approach for computing the mean annual frequency of exceeding a specified seismic demand for a given structure at a designated site, which combines the conventional probabilistic seismic hazard analysis (PSHA) of the designated site with nonlinear dynamic analysis (NDA) of the given structure. Now PSDA has already become an important part of the new-generation Performance Based Earthquake Engineering (PBEE) proposed by PEER. The commonly used nonlinear demand estimation method in PSDA is the so called cloud analysis procedure in which a cloud of demand values are generated when a structure is subjected to a suite of earthquake ground motion records. However, this method can only take into account the record-to-record (RTR) variation in ground motions without considering the random system properties of structures. In this paper, an improved cloud method based on Latin Hypercube Sampling (LHS) method is proposed to build probabilistic seismic demand models (PSDM) to consider inherent randomness both in structures and in ground motions. Furthermore, probabilistic seismic demand fragility analysis (PSDFA) and probabilistic seismic demand hazard analysis (PSDHA) are made based on the improved probabilistic seismic demand models. The methodology is applied in a three-bay and five-storey R.C. frame as an example. The probabilistic seismic demand models with the conventional cloud method and the improved cloud method are compared, and the probabilistic seismic demand fragility curves and hazard curves are derived respectively.
Seismic Demand Improved Cloud Method Probabilistic Seismic Demand Model Seismic Demand Fragility Seismic Demand Hazard
Da-Gang Lu Xiao-Hui Yu Feng Pan Guang-Yuan Wang
School of Civil Engineering, Harbin Institute of Technology, Harbin. China Shanghai Construction Group technology center, Shanghai. 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）