Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling

An efficient framework to obtain stochastic models of responses with polynomial chaos expansion (PCE) using an adaptive least-squares approach is presented in this paper. PCE is a high accuracy spectral expansion technique for uncertainty quantification; however, it is hugely affected by the curse o...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering 2020-03, Vol.360, p.112759, Article 112759
Hauptverfasser:	Thapa, Mishal, Mulani, Sameer B., Walters, Robert W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive polynomial chaos expansion Adaptive sampling Algorithms Basis adaptivity Computer simulation Least squares Polynomials Sequential adaptive sampling Stochastic models Uncertainty quantification Weighted least-squares
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