Próximos artigos

Robust Uncertainty Quantification using Response Surface Approximations of Discontinuous Functions Timothy Wildey, Alex Gorodetsky, Anca Belme, John Shadid

Timothy Wildey
Sandia National Labs

Alex Gorodetsky
University of Michigan, Department of Aerospace Engineering

Anca Belme
Sorbonne Universite, CNRS

John Shadid
Sandia National Laboratories

DOI: 10.1615/Int.J.UncertaintyQuantification.2019026974

Multilevel Monte Carlo on a high-dimensional parameter space for transmission problems with geometric uncertainties Laura Scarabosio

Laura Scarabosio
Technical University of Munich

DOI: 10.1615/Int.J.UncertaintyQuantification.2019025335

Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications Bertrand Iooss, Clémentine Prieur

Bertrand Iooss
EDF R&D

Clémentine Prieur
Université Grenoble Alpes

DOI: 10.1615/Int.J.UncertaintyQuantification.2019028372

Kernel-based stochastic collocation for the random two-phase Navier-Stokes equations Michael Griebel, Christian Rieger, Peter Zaspel

Michael Griebel
Institute for Numerical Simulation, Bonn University, Germany & Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany

Christian Rieger
Institute for Numerical Simulation, Bonn University, Germany & Department of Mathematics, RWTH Aachen University, Germany

Peter Zaspel
Department of Mathematics and Computer Science, University of Basel, Switzerland

DOI: 10.1615/Int.J.UncertaintyQuantification.2019029228

Robustness of the Sobol' indices to distributional uncertainty Joseph Hart, Pierre Gremaud

Joseph Hart
North Carolina State University

Pierre Gremaud
North Carolina State University

DOI: 10.1615/Int.J.UncertaintyQuantification.2019030553

Bayesian Optimal Experimental Design Involving Multiple Setups for Dynamic Structural Testing Sahil Bansal

Sahil Bansal
Indian Institute of Technology Delhi

DOI: 10.1615/Int.J.UncertaintyQuantification.2019025897

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