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Volume 14, 2024 / Issue 1

DOI: 10.1615/Int.J.UncertaintyQuantification.v14.i1

Table of Contents:

IMPROVING ACCURACY AND COMPUTATIONAL EFFICIENCY OF OPTIMAL DESIGN OF EXPERIMENTS VIA GREEDY BACKWARD APPROACH Mehdi Taghizadeh, Dongbin Xiu, Negin Alemazkoor

Mehdi Taghizadeh
Department of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia 22904, USA

Dongbin Xiu
Department of Mathematics, The Ohio State University, Columbus, 43210 Ohio, USA

Negin Alemazkoor
Assistant Professor, Department of Civil and Environmental Engineering/Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, USA

1-18 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023046204

BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY Nicolas Leoni, Olivier Le Maître, Maria-Giovanna Rodio, Pietro Marco Congedo

Nicolas Leoni
Inria, Centre de Mathématiques Appliquées, Ecole Polytechnique, IPP, Route de Saclay, 91128 Palaiseau Cedex, France; Commissariat à l'Energie Atomique et aux Energies Alterna-ves, ISAS, D36, 91191 Gif-sur-YveMe Cedex, France

Olivier Le Maître
CNRS, Inria, Centre de Mathématiques Appliquées, Ecole Polytechnique, IPP, Route de Saclay, 91128 Palaiseau Cedex, France

Maria-Giovanna Rodio
Commissariat à l'Energie Atomique et aux Energies Alterna-ves, ISAS, D36, 91191 Gif-sur-YveMe Cedex, France

Pietro Marco Congedo
Inria, Centre de Mathématiques Appliquées, Ecole Polytechnique, IPP, Route de Saclay, 91128 Palaiseau Cedex, France

19-41 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023046331

A BAYESIAN NEURAL NETWORK APPROACH TO MULTI-FIDELITY SURROGATE MODELING Baptiste Kerleguer, Claire Cannamela, Josselin Garnier

Baptiste Kerleguer
Commissariat à l'Énergie Atomique et aus Energies Alternatives (CEA), DAM, DIF, Arpajon, France; Centre de Mathématiques Appliquées, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau Cedex, France

Claire Cannamela
Commissariat à l'Énergie Atomique et aus Energies Alternatives (CEA), DAM, DIF, Arpajon, France

Josselin Garnier
Centre de Mathématiques Appliquées, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau Cedex, France

43-60 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023044584

LONG SHORT-TERM RELEVANCE LEARNING Bram P. van de Weg, L. Greve, B. Rosic

Bram P. van de Weg
Volkswagen AG, Wolfsburg, Germany; Applied Mechanics and Data Analysis, Faculty of Engineering Technology, University of Twente, Enschede, The Netherlands

L. Greve
Volkswagen AG, Wolfsburg, Germany

B. Rosic
Applied Mechanics and Data Analysis, Faculty of Engineering Technology, University of Twente, Enschede, The Netherlands

61-87 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023039739

NESTED OPTIMAL UNCERTAINTY QUANTIFICATION FOR AN EFFICIENT INCORPORATION OF RANDOM FIELDS−APPLICATION TO SHEET METAL FORMING Niklas Miska, Steffen Freitag, Daniel Balzani

Niklas Miska
Chair of Continuum Mechanics, Ruhr-Universität Bochum, Universitätsstraße 150, 44801 Bochum, Germany

Steffen Freitag
Institute for Structural Analysis, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany

Daniel Balzani
Chair of Continuum Mechanics, Ruhr-Universität Bochum, Universitätsstraße 150, 44801 Bochum, Germany

89-106 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023047256

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