Stochastic Models of Uncertainties in Computational Mechanics (Lecture Notes in Mechanics)

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9780784412237: Stochastic Models of Uncertainties in Computational Mechanics (Lecture Notes in Mechanics)

Sponsored by the Engineering Mechanics Institute of ASCE. Stochastic Models of Uncertainties in Computational Mechanics presents the main concepts, formulations, and recent advances in the use of a mathematical-mechanical modeling process to predict the responses of a real structural system in its environment. Computational models are subject to two types of uncertainties--variabilities in the real system and uncertainties in the model itself--so, to be effective, these models must support robust optimization, design, and updating. A probabilistic approach to uncertainties is the most powerful, efficient, and effective tool for computational modeling. Chapters describe the methodology, construction, and estimation for using parametric, nonparametric, and generalized probabilistic approaches to the uncertainties in computational structural dynamics. Other chapters demonstrate the nonparametric probabilistic approach in the context of linear and nonlinear structural dynamics and in structural acoustics and vibration. A new methodology adapted to partial and limited experimental data is presented to identify random coefficients in high-dimension polynomial chaos expansions. This compact guide to probabilistic approaches in computational modeling will be of interest to those working in computational sciences, especially structural engineers, who are developing and applying stochastic models of uncertainties to predict real-world structural systems.

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Christian Soize
Editorial: American Society of Civil Engineers, United States (2013)
ISBN 10: 0784412235 ISBN 13: 9780784412237
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Descripción American Society of Civil Engineers, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book. Sponsored by the Engineering Mechanics Institute of ASCE. Stochastic Models of Uncertainties in Computational Mechanics presents the main concepts, formulations, and recent advances in the use of a mathematical-mechanical modeling process to predict the responses of a real structural system in its environment. Computational models are subject to two types of uncertainties--variabilities in the real system and uncertainties in the model itself--so, to be effective, these models must support robust optimization, design, and updating. A probabilistic approach to uncertainties is the most powerful, efficient, and effective tool for computational modeling. Chapters describe the methodology, construction, and estimation for using parametric, nonparametric, and generalized probabilistic approaches to the uncertainties in computational structural dynamics. Other chapters demonstrate the nonparametric probabilistic approach in the context of linear and nonlinear structural dynamics and in structural acoustics and vibration. A new methodology adapted to partial and limited experimental data is presented to identify random coefficients in high-dimension polynomial chaos expansions. This compact guide to probabilistic approaches in computational modeling will be of interest to those working in computational sciences, especially structural engineers, who are developing and applying stochastic models of uncertainties to predict real-world structural systems. Nº de ref. de la librería AAN9780784412237

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Christian Soize
Editorial: American Society of Civil Engineers (2013)
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Descripción American Society of Civil Engineers, 2013. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9780784412237

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Christian Soize
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Descripción American Society of Civil Engineers. Paperback. Estado de conservación: new. BRAND NEW, Stochastic Models of Uncertainties in Computational Mechanics, Christian Soize, Christian Soize presents the main concepts, formulations, and recent advances in the use of a mathematical-mechanical modeling process to predict the responses of a real structural system in its environment. Nº de ref. de la librería B9780784412237

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Christian Soize
Editorial: American Society of Civil Engineers, United States (2012)
ISBN 10: 0784412235 ISBN 13: 9780784412237
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Descripción American Society of Civil Engineers, United States, 2012. Paperback. Estado de conservación: New. Language: English . Brand New Book. Sponsored by the Engineering Mechanics Institute of ASCE. Stochastic Models of Uncertainties in Computational Mechanics presents the main concepts, formulations, and recent advances in the use of a mathematical-mechanical modeling process to predict the responses of a real structural system in its environment. Computational models are subject to two types of uncertainties--variabilities in the real system and uncertainties in the model itself--so, to be effective, these models must support robust optimization, design, and updating. A probabilistic approach to uncertainties is the most powerful, efficient, and effective tool for computational modeling. Chapters describe the methodology, construction, and estimation for using parametric, nonparametric, and generalized probabilistic approaches to the uncertainties in computational structural dynamics. Other chapters demonstrate the nonparametric probabilistic approach in the context of linear and nonlinear structural dynamics and in structural acoustics and vibration. A new methodology adapted to partial and limited experimental data is presented to identify random coefficients in high-dimension polynomial chaos expansions. This compact guide to probabilistic approaches in computational modeling will be of interest to those working in computational sciences, especially structural engineers, who are developing and applying stochastic models of uncertainties to predict real-world structural systems. Nº de ref. de la librería AAN9780784412237

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SOIZE
Editorial: American Society Civil Engineers (2013)
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Descripción American Society Civil Engineers, 2013. Paperback. Estado de conservación: NEW. 9780784412237 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0634085

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ISBN 10: 0784412235 ISBN 13: 9780784412237
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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97807844122370000000

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Soize, Christian, Ph.d (Editor)
Editorial: Amer Society of Civil Engineers (2012)
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Descripción Amer Society of Civil Engineers, 2012. Paperback. Estado de conservación: Brand New. 125 pages. 8.75x6.00x0.25 inches. In Stock. Nº de ref. de la librería __0784412235

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Editorial: Amer Society of Civil Engineers (2012)
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Descripción Amer Society of Civil Engineers, 2012. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0784412235

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