Archive Files

Volume 10, 2020 / Edição 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i3

Table of Contents:

GOAL-ORIENTED MODEL ADAPTIVITY IN STOCHASTIC ELASTODYNAMICS: SIMULTANEOUS CONTROL OF DISCRETIZATION, SURROGATE MODEL AND SAMPLING ERRORS Pedro Bonilla-Villalba, S. Claus, A. Kundu, Pierre Kerfriden

Pedro Bonilla-Villalba
Institute of Materials, Mechanics and Advanced Manufacturing, Cardiff University, 5 theParade, Cardiff, UK

S. Claus
ONERA, 6 Chemin de la Vauve aux Granges, 91120 Palaiseau, France

A. Kundu
Institute of Materials, Mechanics and Advanced Manufacturing, Cardiff University, 5 the Parade, Cardiff, UK

Pierre Kerfriden
Institute of Materials, Mechanics and Advanced Manufacturing, Cardiff University, 5 the Parade, Cardiff, UK; Centre des Matériaux, MINES ParisTech/PSL University, 63-65 rue Henri Auguste Desbruères, Corbeil-essonnes, France

195-223 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031735

HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION Joseph Hart, Bart van Bloemen Waanders, Roland Herzog

Joseph Hart
Optimization and Uncertainty Quantification, Sandia National Laboratories, P.O. Box 5800, Albuquerque, New Mexico 87123-1320, USA

Bart van Bloemen Waanders
Sandia National Laboratories, Albuquerque, New Mexico, 87185, USA

Roland Herzog
Technical University Chemnitz, Faculty of Mathematics, 09107 Chemnitz, Germany

225-248 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032480

REPLICATION-BASED EMULATION OF THE RESPONSE DISTRIBUTION OF STOCHASTIC SIMULATORS USING GENERALIZED LAMBDA DISTRIBUTIONS Xujia Zhu, Bruno Sudret

Xujia Zhu
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

249-275 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033029

MODEL CALIBRATION FOR DETONATION PRODUCTS: A PHYSICS-INFORMED, TIME-DEPENDENT SURROGATE METHOD BASED ON MACHINE LEARNING Juan Zhang, J. Yin, Ruili Wang, J. Chen

Juan Zhang
Institute of Applied Physics and Computational Mathematics, Beijing, 100094, People's Republic of China

J. Yin
Institute of Applied Physics and Computational Mathematics, Beijing, 100094, People's Republic of China

Ruili Wang
Institute of Applied Physics and Computational Mathematics, Beijing, 100094, People’s Republic of China

J. Chen
China Aerodynamics Research and Development Center, Mianyang, Sichuan, 621000, People's Republic of China

277-296 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032977

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