Archive Files

Volume 3, 2013 / Edição 5

DOI: 10.1615/Int.J.UncertaintyQuantification.v3.i5

Table of Contents:

FRAMEWORK FOR CONVERGENCE AND VALIDATION OF STOCHASTIC UNCERTAINTY QUANTIFICATION AND RELATIONSHIP TO DETERMINISTIC VERIFICATION AND VALIDATION S. Maysam Mousaviraad, Wei He, Matteo Diez, Frederick Stern

S. Maysam Mousaviraad
IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, USA

Wei He
Visiting scholar from NAOCE, Shanghai Jiao Tong University, Shanghai, China

Matteo Diez
Visiting scholar from CNR-INSEAN, Via di Vallerano 139, 00128 Rome, Italy

Frederick Stern
IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, USA

371-395 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003594

PARAMETER SENSITIVITY OF AN EDDY VISCOSITY MODEL: ANALYSIS, COMPUTATION AND ITS APPLICATION TO QUANTIFYING MODEL RELIABILITY Faranak Pahlevani, Lisa Davis

Faranak Pahlevani
Division of Science and Engineering, Penn State Abington, Abington, Pennsylvania 19001, USA

Lisa Davis
Department of Mathematical Sciences, Montana State University, Bozeman, Montana 59717, USA

397-419 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012004044

PROPAGATION OF UNCERTAINTY BY SAMPLING ON CONFIDENCE BOUNDARIES Jan Peter Hessling, Thomas Svensson

Jan Peter Hessling
SP Technical Research Institute of Sweden, Measurement Technology, Box 857, SE-50115 Boras, Sweden

Thomas Svensson
SP Technical Research Institute of Sweden, Building Technology and Mechanics, Box 857, SE-50115 Boras, Sweden

421-444 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012004275

ASYMPTOTICALLY INDEPENDENT MARKOV SAMPLING: A NEW MARKOV CHAIN MONTE CARLO SCHEME FOR BAYESIAN INFERENCE James L. Beck, Konstantin M. Zuev

James L. Beck
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, USA

Konstantin M. Zuev
Department of Computing and Mathematical Sciences, Division of Engineering and Applied Science, 1200 E California Blvd., California Institute of Technology, Pasadena, California 91125, USA

445-474 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2012004713

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