Control variates with splitting for aggregating results of Monte Carlo simulation and perturbation analysis
Date Issued
2024-05
Author(s) USM
DOI
10.1016/j.strusafe.2024.102445
Abstract
Estimation of second-order statistics allows characterizing the uncertainty associated with the response of stochastic finite element models. Two common approaches for estimating these statistics are Monte Carlo simulation and perturbation. The purpose of
