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ISSN Imprimir: 2152-5080
ISSN On-line: 2152-5099
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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 páginas
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 páginas
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 páginas
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 páginas
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 páginas
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 páginas
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 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.70
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