Adaptive Sparse Grid based Polynomial Chaos Techniques for Sensitivity and Uncertainty Analysis

来源 :Asian Congress of Structural and Multidisciplinary Optimizat | 被引量 : 0次 | 上传用户:hanyikuaile1112
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  Quantifying the impacts of uncertainties on design performance,i.e.,uncertainty quantification (UQ),is the most important stage in uncertainty-based design optimization (UBDO) for air vehicles.Crude Monte Carlo (MC) simulation with easy operation and strong generality has been widely used for UQ: however,the convergence rate for this approach is slow and requires an enormous number of simulations,which becomes infeasible for the expensive function evaluations,e.g.CFD simulation.
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