Архив

Том 2, 2012 / Выпуск 2

DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2

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

ii страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.10

ROBUST STOCHASTIC DESIGN OF BASE-ISOLATED STRUCTURAL SYSTEMS Hector Jensen, Juan Sepulveda, Luis Becerra

Hector Jensen
Departmento de Obras Civiles, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile

Juan Sepulveda
Departmento de Obras Civiles, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile

Luis Becerra
Departmento de Obras Civiles, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile

95-110 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.20

STOCHASTIC DRILL-STRING DYNAMICS WITH UNCERTAINTY ON THE IMPOSED SPEED AND ON THE BIT-ROCK PARAMETERS Thiago G. Ritto, R. Sampaio

Thiago G. Ritto
Department of Mechanical Engineering, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, 21945-970, Brazil

R. Sampaio
Department of Mechanical Engineering, PUC-Rio, Rio de Janeiro, 22453-900, Brazil

111-124 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.30

FORWARD AND BACKWARD UNCERTAINTY PROPAGATION FOR DISCONTINUOUS SYSTEM RESPONSE USING THE PADÉ-LEGENDRE METHOD Tonkid Chantrasmi, Gianluca Iaccarino

Tonkid Chantrasmi
Department of Mechanical and Aerospace Engineering, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand

Gianluca Iaccarino
Department of Mechanical Engineering Institute for Computational Mathematical Engineering Stanford University Bldg 500, RM 500-I, Stanford CA 94305 - USA

125-143 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.40

A STOCHASTIC COLLOCATION APPROACH FOR UNCERTAINTY QUANTIFICATION IN HYDRAULIC FRACTURE NUMERICAL SIMULATION 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

145-160 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.50

RELATIONSHIP BETWEEN BAYESIAN AND FREQUENTIST SIGNIFICANCE INDICES Marcio Diniz, Carlos A. B. Pereira, Adriano Polpo, Julio M. Stern, Sergio Wechsler

Marcio Diniz
Department of Statistics, Federal University of Sao Carlos, Rod. Washington Luis, km 235, Sao Carlos, SP, 13565-905, Brazil

Carlos A. B. Pereira
Mathematics and Statistics Institute, University of Sao Paulo, Sao Paulo, SP, Brazil

Adriano Polpo
Department of Statistics, Federal University of Sao Carlos, Rod. Washington Luis, km 235, Sao Carlos, SP, 13565-905, Brazil

Julio M. Stern
Mathematics and Statistics Institute, University of Sao Paulo, Sao Paulo, SP, Brazil

Sergio Wechsler
Mathematics and Statistics Institute, University of Sao Paulo, Sao Paulo, SP, Brazil

161-172 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.60

A BAYES NETWORK APPROACH TO UNCERTAINTY QUANTIFICATION IN HIERARCHICALLY DEVELOPED COMPUTATIONAL MODELS Angel Urbina, Sankaran Mahadevan, Thomas L. Paez

Angel Urbina
Optimization and Uncertainty Quantification, Sandia National Laboratories, P.O. Box 5800, MS 1318, Albuquerque, New Mexico 87185-1320, USA

Sankaran Mahadevan
Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA

Thomas L. Paez
Thomas Paez Consulting, Durango, CO 80301

173-193 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.70

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