Archive Files

Volume 2, 2012 / Edição 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i3

Table of Contents:

PREFACE Nicholas Zabaras

Nicholas Zabaras
Department of Mechanical and Aerospace Engineering, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA; University of Warwick, Coventry CV4 7AL, UK

vii páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i3.10

DIFFERENTIAL CONSTRAINTS FOR THE PROBABILITY DENSITY FUNCTION OF STOCHASTIC SOLUTIONS TO THE WAVE EQUATION Daniele Venturi, George Em Karniadakis

Daniele Venturi
Department of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA 95064, USA

George Em Karniadakis
School of Engineering, Brown University, Providence, Rhode Island, 02912, USA; Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

195-213 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2011003485

PARALLEL ADAPTIVE MULTILEVEL SAMPLING ALGORITHMS FOR THE BAYESIAN ANALYSIS OF MATHEMATICAL MODELS Ernesto Prudencio, Sai Hung Cheung

Ernesto Prudencio
Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, Texas, USA

Sai Hung Cheung
School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore

215-237 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2011003499

STATE ESTIMATION PROBLEMS IN HEAT TRANSFER Helcio Rangel Barreto Orlande, Marcelo Jose Colaço, George S. Dulikravich, Flavio Vianna, Wellington Betencurte da Silva, Henrique M. Fonseca, Olivier Fudym

Helcio Rangel Barreto Orlande
Department of Mechanical Engineering, Politecnica/COPPE, Federal University of Rio de Janeiro - UFRJ, Caixa Postal: 68503, Cidade Universitaria, Rio de Janeiro, RJ, 21941-972, Brazil; Nanotechnology Eng. Program, COPPE, Federal University of Rio de Janeiro, Brazil

Marcelo Jose Colaço
Department of Mechanical Engineering, Federal University of Rio de Janeiro, UFRJ, Technology Center, Bloco G – Cidade Universitaria da UFRJ, Ilha do Governador, Rio de Janeiro/RJ, 21941-909, Brazil

George S. Dulikravich
none (retired)

Flavio Vianna
Department of Subsea Technology, Petrobras Research and Development Center−CENPES, Av. Horacio Macedo, 950, Cidade Universitaria, Ilha do Fundao, 21941-915, Rio de Janeiro, RJ, Brazil

Wellington Betencurte da Silva
Department of Mechanical Engineering, Politecnica/COPPE, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, 21941-972, Brazil; Universite de Toulouse, Mines Albi, CNRS, Centre RAPSODEE, Campus Jarlard, F-81013 Albi cedex 09, France; Mechanical Engineering Department, Federal University of Espirito Santo, UFES. Alto Universitario, Guararema, Alegre/ES, 29.500-999, Brazil

Henrique M. Fonseca
Department of Mechanical Engineering, Politecnica/COPPE, Federal University of Rio de Janeiro, UFRJ, Cid. Universitaria, Cx. Postal: 68503, Rio de Janeiro, RJ, 21941-972, Brazil; Department of Mechanical Engineering, Fluminense Federal University - Volta Redonda, Brazil

Olivier Fudym
Universite de Toulouse, Mines Albi, CNRS, Centre RAPSODEE, Campus Jarlard, F-81013 Albi cedex 09, France

239-258 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003582

EFFECTIVE PARAMETRIZATION FOR RELIABLE RESERVOIR PERFORMANCE PREDICTIONS Xiao-Hui Wu, Linfeng Bi, Subhash Kalla

Xiao-Hui Wu
ExxonMobil Upstream Research Company, P. O. Box 2189, Houston, TX 77252, USA

Linfeng Bi
ExxonMobil Upstream Research Company, P. O. Box 2189, Houston, TX 77252, USA

Subhash Kalla
ExxonMobil Upstream Research Company, P. O. Box 2189, Houston, TX 77252, USA

259-278 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003765

𝓁₁-MINIMIZATION">STOCHASTIC COLLOCATION ALGORITHMS USING 𝓁₁-MINIMIZATION Liang Yan, Ling Guo, Dongbin Xiu

Liang Yan
Department of Mathematics, Southeast University, Nanjing, 210096, China

Ling Guo
Department of Mathematics, Shanghai Normal University, No. 100 Guilin Road, Shanghai 200234, China

Dongbin Xiu
Ohio State University

279-293 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003925

SENSITIVITY ANALYSIS FOR THE OPTIMIZATION OF RADIOFREQUENCY ABLATION IN THE PRESENCE OF MATERIAL PARAMETER UNCERTAINTY Inga Altrogge, Tobias Preusser, Tim Kroger, Sabrina Haase, Torben Patz, Robert Mike Kirby

Inga Altrogge
Center of Complex Systems and Visualization, University of Bremen, Germany

Tobias Preusser
Fraunhofer MEVIS; and School of Engineering and Science, Jacobs University, Bremen, Germany

Tim Kroger
Georg Simon Ohm University of Applied Sciences, Nuremberg, Germany

Sabrina Haase
Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany

Torben Patz
School of Engineering and Science, Jacobs University Bremen; Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany

Robert Mike Kirby
School of Computing, and Scientific Computing and Imaging (SCI) Institute, Salt Lake City, Utah, 84112, USA

295-321 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012004135

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