Archive Files

Volume 5, 2015 / Edição 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v5.i4

Table of Contents:

PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES M. J. Bayarri, J. O. Berger, E. S. Calder, Abani Patra, E. Bruce Pitman, E. T. Spiller, Robert L. Wolpert

M. J. Bayarri
Departament d Estadistica y Investigacio Operativa, Universitat de Valencia, 46100 Burjassot, Valencia, Spain

J. O. Berger
Department of Statistical Science, Duke University, Durham, North Carolina 27708-0251, USA; Department of Statistics, King Abdulaziz University, Jeddah, Saudi Arabia

E. S. Calder
Earth and Planetary Science, The University of Edinburgh, Edinburgh, UK

Abani Patra

E. Bruce Pitman
Department of Mathematics, University at Buffalo Buffalo, New York 14260, USA

E. T. Spiller
Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, Wisconsiin 53201, USA

Robert L. Wolpert
Department of Statistical Science, Duke University, Durham, North Carolina 27708-0251, USA

297-325 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2015011451

UNCERTAINTY QUANTIFICATION OF THE GEM CHALLENGE MAGNETIC RECONNECTION PROBLEM USING THE MULTILEVEL MONTE CARLO METHOD Eder M. Sousa, Guang Lin, Uri Shumlak

Eder M. Sousa
Aerospace and Energetics Research Program, University of Washington, Seattle, Washington 98195, USA

Guang Lin
Computational Science & Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Department of Mathematics, School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA

Uri Shumlak
Aerospace and Energetics Research Program, University of Washington, Seattle, Washington 98195, USA

327-339 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2015006492

SURROGATE PREPOSTERIOR ANALYSES FOR PREDICTING AND ENHANCING IDENTIFIABILITY IN MODEL CALIBRATION Zhen Jiang, Daniel W. Apley, Wei Chen

Zhen Jiang
Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, USA

Daniel W. Apley
Department of Industrial Engineering and Management Sciences, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, USA

Wei Chen
Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, USA

341-359 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2015012627

A NEW GIBBS SAMPLING BASED BAYESIAN MODEL UPDATING APPROACH USING MODAL DATA FROM MULTIPLE SETUPS Sahil Bansal

Sahil Bansal
Indian Institute of Technology Delhi

361-374 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2015013581

LOW-COST MULTI-DIMENSIONAL GAUSSIAN PROCESS WITH APPLICATION TO UNCERTAINTY QUANTIFICATION Bledar A. Konomi , Guang Lin

Bledar A. Konomi
Department of Mathematical Sciences, University of Cincinnati, Cincinnati, Ohio 45221, USA

375-392 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2015007941

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