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ArticleMetamodeling of dynamic nonlinear structural systems through polynomial chaos NARX models

Minas D. Spiridonakos2015

Article2015

Metamodeling of dynamic nonlinear structural systems through polynomial chaos NARX models

Minas D. Spiridonakos · Eleni Chatzi

96 citations·0/0 files stored·Computers & Structures

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Probabilistic and Robust Engineering Design Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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References

2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis 2004Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure 2010Time-dependent generalized polynomial chaos 1998Adaptive polynomial chaos expansions applied to statistics of extremes in nonlinear random vibration

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2018Stochastic dynamic analysis of twisted functionally graded plates 2017A new uncertainty propagation method for problems with parameterized probability-boxes 2017Performance of global metamodeling techniques in solution of structural reliability problems 2022Uncertainty quantification of dynamical systems by a POD–Kriging surrogate model 2017Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping 2019Random dynamical system in time domain: A POD-PC model 2020A Kriging–NARX Model for Uncertainty Quantification of Nonlinear Stochastic Dynamical Systems in Time Domain

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2017Uncertainty quantification/propagation in nonlinear modelsarticle · 4 shared references 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansionsarticle · 3 shared references 2017Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warpingarticle · 3 shared references 2017A Critical Appraisal of Design of Experiments for Uncertainty Quantificationarticle · 3 shared references 2012Data-driven uncertainty quantification using the arbitrary polynomial chaos expansionarticle · 2 shared references 2015POLYNOMIAL-CHAOS-BASED KRIGINGarticle · 2 shared references

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Year2015

Typearticle

Published2015-06-04

VenueComputers & Structures

ISSN-L0045-7949

Languageen

Citations96

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.compstruc.2015.05.002

openalex_workW650276496

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2021

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