Abstract. This paper presents a reliability-based analysis of strip-footing settlement by Stochastic Finite-Element Method (SFEM). The Stochastic Response Surface Method (SRSM) and Random Finite-Element Method (RFEM) are used as two formulations of SFEM. The elastic properties of soil are considered as spatial random variables and modeled as cross correlated log-normal random elds. Random eld discretization is done by Karhunen-Loeve (K-L) expansion. Two programs were coded by MATLAB so as to take full advantages of its matrix operations, and in an illustrative example, it was shown that the results of SRSM are close to RFEM; however, the consumed time in RFEM is at most 50 times longer than that in SRSM. Using the faster method, SRSM, it is concluded that considering the spatial variability of soil parameters in stochastic analysis is necessary.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.