Archive Files

Volume 12, 2022 / Edição 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v12.i3

Table of Contents:

A FETI-DP-BASED PARALLEL ALGORITHM FOR SOLVING HIGH DIMENSIONAL STOCHASTIC PDES USING COLLOCATION Gopika Ajith, Debraj Ghosh

Gopika Ajith
Department of Civil Engineering, Indian Institute of Science, Bangalore, India, 560012

Debraj Ghosh
Department of Civil Engineering, Indian Institute of Science, Bangalore, India, 560012

1-15 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021038512

MIXED COVARIANCE FUNCTION KRIGING MODEL FOR UNCERTAINTY QUANTIFICATION Kai Cheng, Zhenzhou Lu, Sinan Xiao, Sergey Oladyshkin, Wolfgang Nowak

Kai Cheng
School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China; Department of Stochastic Simulation and Safety Research for Hydrosystems (IWS/LS3), University of Stuttgart, Pfaffenwaldring 5a, Stuttgart 70569, Germany

Zhenzhou Lu
School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China

Sinan Xiao
Department of Stochastic Simulation and Safety Research for Hydrosystems (IWS/LS3), University of Stuttgart, Pfaffenwaldring 5a, Stuttgart 70569, Germany

Sergey Oladyshkin
University of Stuttgart

Wolfgang Nowak
Department of Stochastic Simulation and Safety Research for Hydrosystems (IWS/LS3), University of Stuttgart, Pfaffenwaldring 5a, Stuttgart 70569, Germany

17-30 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021035851

CLOSURE LAW MODEL UNCERTAINTY QUANTIFICATION Andreas Strand, Jørn Kjølaas, Trond H. Bergstrøm, Ingelin Steinsland, Leif Rune Hellevik

Andreas Strand
Department of Structural Engineering, Faculty of Engineering, Norwegian University of Science and Technology, 7491, Trondheim, Norway

Jørn Kjølaas
Department of Process Technology, SINTEF Industry, 7465, Trondheim, Norway

Trond H. Bergstrøm
Department of Process Technology, SINTEF Industry, 7465, Trondheim, Norway

Ingelin Steinsland
Department of Mathematical Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, 7491, Trondheim, Norway

Leif Rune Hellevik
Department of Structural Engineering, Faculty of Engineering, Norwegian University of Science and Technology, 7491, Trondheim, Norway

31-48 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021037714

AUTOMATIC SELECTION OF BASIS-ADAPTIVE SPARSE POLYNOMIAL CHAOS EXPANSIONS FOR ENGINEERING APPLICATIONS Nora Lüthen, Stefano Marelli, Bruno Sudret

Nora Lüthen
Chair of Risk, Safety and Uncertainty Quantification, ETH Zürich, 8093 Zürich, Switzerland

Stefano Marelli
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland

Bruno Sudret
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland

49-74 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021036153

STABLE LIKELIHOOD COMPUTATION FOR MACHINE LEARNING OF LINEAR DIFFERENTIAL OPERATORS WITH GAUSSIAN PROCESSES O. Chatrabgoun, Mohsen Esmaeilbeigi, M. Cheraghi, A. Daneshkhah

O. Chatrabgoun
Faculty of Mathematical Sciences and Statistics, Malayer University, Malayer 65719-95863, Iran; School of Computing, Electronics and Mathematics, Coventry University, Coventry, CV1 5FB, United Kingdom

Mohsen Esmaeilbeigi
Faculty of Mathematical Sciences and Statistics, Malayer University, Malayer 65719-95863, Iran

M. Cheraghi
Faculty of Mathematical Sciences and Statistics, Malayer University, Malayer 65719-95863, Iran

A. Daneshkhah
Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, CV1 5FB, United Kingdom

75-99 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2022038966

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