Indexed by:会议论文

Date of Publication:2003-01-01

Included Journals:CPCI-S

Page Number:301-307

Abstract:Structural reliability analysis is a process with costly computation because the limit state function is usually a highly nonlinear implicit function with respect to the basic design variables, especially for complex large-scale structures with dynamic and nonlinear analysis. Understanding statistical properties of the structural elastoplastic deformation is helpful to develop the efficient approximate approach of reliability analysis. The present paper studies the probability distribution of the maximum elastoplastic story drift of steel frames subjected to earthquake load using the Kolmogorov-Smirnov test, considering the randomness of earthquake load, dead load, live load, steel elastic module, steel yield strength and structural member dimensions. The results show that the probability distribution of the maximum elastoplastic story drift is related to the mean of the maximum elastoplastic story drift. It has the probability distribution of extreme value type I when the mean is small, and extreme value type 11 when the mean relatively large.