Archive Files

Volume 10, 2020 / Issue 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i4

Table of Contents:

SENSITIVITY INDICES FOR OUTPUT ON A RIEMANNIAN MANIFOLD R. Fraiman, F. Gamboa, Leonardo Moreno

R. Fraiman
Centro de Matemática, Facultad de Ciencias, Universidad de la República, Uruguay

F. Gamboa
Institut de Mathématiques de Toulouse, France

Leonardo Moreno
Departamento de Métodos Cuantitativos, FCEA, Universidad de la República, Uruguay

297-314 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2020029614

A MULTI-FIDELITY NEURAL NETWORK SURROGATE SAMPLING METHOD FOR UNCERTAINTY QUANTIFICATION Mohammad Motamed

Mohammad Motamed
Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, 87131, USA

315-332 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031957

INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL Kevin de Vries, Anna Nikishova, Benjamin Czaja, Gábor Závodszky, Alfons G. Hoekstra

Kevin de Vries
Computational Science Lab, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands, Amsterdam, 1098 XH

Anna Nikishova
Computational Science Lab, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands, Amsterdam, 1098 XH

Benjamin Czaja
Computational Science Lab, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands, Amsterdam, 1098 XH

Gábor Závodszky
Computational Science Lab, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands, Amsterdam, 1098 XH

Alfons G. Hoekstra
Computational Science Lab, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands, Amsterdam, 1098 XH

333-349 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033186

YIELD OPTIMIZATION BASED ON ADAPTIVE NEWTON-MONTE CARLO AND POLYNOMIAL SURROGATES Mona Fuhrländer, Niklas Georg, Ulrich Römer, Sebastian Schöps

Mona Fuhrländer
Institut für Teilchenbeschleunigung und Elektromagnetische Felder (TEMF), Technische Universität Darmstadt, Schlossgartenstr. 8, 64289 Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Dolivostr. 15, 64293 Darmstadt, Germany

Niklas Georg
Institut für Dynamik und Schwingungen, Technische Universität Braunschweig, Braunschweig, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Darmstadt, Germany; Institut für Teilchenbeschleunigung und Elektromagnetische Felder (TEMF), Technische Universität Darmstadt, Darmstadt, Germany

Ulrich Römer
Institut für Dynamik und Schwingungen, Technische Universität Braunschweig, Schleinitzstraße 20, 38106 Braunschweig, Germany

Sebastian Schöps
Institut für Teilchenbeschleunigung und Elektromagnetische Felder (TEMF), Technische Universität Darmstadt, Schlossgartenstr. 8, 64289 Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Dolivostr. 15, 64293 Darmstadt, Germany

351-373 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033344

DATA-DRIVEN CALIBRATION OF P3D HYDRAULIC FRACTURING MODELS Souleymane Zio , Fernando Alves Rochinha

Souleymane Zio
Mechanical Engineering, COPPE, Federal University of Rio de Janeiro, P.O. Box 68503, 21941972, Rio de Janeiro, Brazil; 1Institut du Génie des Systèmes Industriels et Textiles, École Polytechnique de Ouagadougou, 18 BP 234 Ouagadougou, Burkina Faso, West Africa

Fernando Alves Rochinha
Mechanical Engineering Program, COPPE, University City of the Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

375-398 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033602

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