Application of conditional random fields and sparse polynomial chaos expansions in structural reliability analysis

Roland Schöbi, Bruno Sudret, Dan M. Frangopol, Bruce R. Ellingwood, Christian Bucher
Random field theory is often used to describe spatial variability in engineering applications. Using discretization algorithms, realizations of random fields are generated, which may be used subsequently in e.g. structural reliability analysis. Furthermore, sparse polynomial chaos expansions can reduce the total computational costs and allow for an efficient estimation of failure probabilities. The proposed approach is illustrated on a geotechnical engineering problem.
doi:10.3929/ethz-b-000237463 fatcat:trzy56mtmjgodeeu32yih2tpee