Статьи, принятые к публикации

Scalable extensions to given-data Sobol' index estimators Teresa Portone, Bert Debusschere, Samantha Yang, Emiliano Islas-Quinones, T. Patrick Xiao

Teresa Portone
Sandia National Laboratories

Bert Debusschere
Sandia National Laboratories

Samantha Yang
Sandia National Laboratories

Emiliano Islas-Quinones
Sandia National Laboratories

T. Patrick Xiao
Sandia National Laboratories

DOI: 10.1615/Int.J.UncertaintyQuantification.2026061560

A tree-based Polynomial Chaos expansion for surrogate modeling and sensitivity analysis of complex numerical models Faten Ben Said, Aurélien Alfonsi, Anne Dutfoy, Cédric Goeury, Magali Jodeau, Julien Reygner, Fabrice Zaoui

Faten Ben Said
Électricité de France (EDF), Research and Development Division, National Laboratory for Hydraulics and Environment (LNHE), Chatou, France; CERMICS, CERMICS, ENPC, Institut Polytechnique de Paris, Marne-la-Vallée, France

Aurélien Alfonsi
CERMICS, ENPC, Institut Polytechnique de Paris, Marne-la-Vallée, France; MathRisk, INRIA, Paris, France

Anne Dutfoy
Électricité de France (EDF), Research and Development Division, PErformance et prévention des Risques Industriels du parC par la simuLation et les EtudeS (PERICLES), Paris-Saclay, France.

Cédric Goeury
Électricité de France (EDF), Research and Development Division, National Laboratory for Hydraulics and Environment (LNHE), Chatou, France; Laboratoire d’Hydraulique Saint-Venant (LHSV), ENPC, Institut Polytechnique de Paris, EDF R&D, Chatou, France

Magali Jodeau
Électricité de France (EDF), Research and Development Division, National Laboratory for Hydraulics and Environment (LNHE), Chatou, France; Laboratoire d’Hydraulique Saint-Venant (LHSV), ENPC, Institut Polytechnique de Paris, EDF R&D, Chatou, France

Julien Reygner
CERMICS, ENPC, Institut Polytechnique de Paris, Marne-la-Vallée, France

Fabrice Zaoui
Électricité de France (EDF), Research and Development Division, National Laboratory for Hydraulics and Environment (LNHE), Chatou, France

DOI: 10.1615/Int.J.UncertaintyQuantification.2026061786

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models Aricia Rinkens, Rodrigo Lima de Souza e Silva, Erik Quaeghebeur, Nick Jaensson, Clemens Verhoosel

Aricia Rinkens
Eindhoven University of Technology

Rodrigo Lima de Souza e Silva
Eindhoven University of Technology

Erik Quaeghebeur
Eindhoven University of Technology

Nick Jaensson
Eindhoven University of Technology

Clemens Verhoosel
Eindhoven University of Technology

DOI: 10.1615/Int.J.UncertaintyQuantification.2026060967

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields Adrian Padilla-Segarra, Pascal Noble, Olivier Roustant, Eric Savin

Adrian Padilla-Segarra
ONERA and INSA Toulouse

Pascal Noble
INSA Toulouse

Olivier Roustant
INSA Toulouse

Eric Savin
ONERA

DOI: 10.1615/Int.J.UncertaintyQuantification.2026063515

Begell house Digital Library - Whole Library in One Click