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Sub Structure Coupling Dynamic Analysis by Jensen Hector (23 results)
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Condition: As New. Unread book in perfect condition.
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Sub-structure Coupling for Dynamic Analysis: Application to Complex Simulation-Based Problems Involving Uncertainty (Lecture Notes in Applied and Computational Mechanics, 89)
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Sub-structure Coupling for Dynamic Analysis: Application to Complex Simulation-Based Problems Involving Uncertainty (Lecture Notes in Applied and Computational Mechanics)
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 96.15
£ 11.98 shipping
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Sub-structure Coupling for Dynamic Analysis : Application to Complex Simulation-based Problems Involving Uncertainty
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Sub-structure Coupling for Dynamic Analysis : Application to Complex Simulation-based Problems Involving Uncertainty
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Brand New. 227 pages. 9.25x6.10x0.51 inches. In Stock.
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Hardcover. Condition: Brand New. 244 pages. 9.25x6.10x0.79 inches. In Stock.
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Taschenbuch. Condition: Neu. Sub-structure Coupling for Dynamic Analysis | Application to Complex Simulation-Based Problems Involving Uncertainty | Hector Jensen (u. a.) | Taschenbuch | Lecture Notes in Applied and Computational Mechanics | xiii | Englisch | 2020 | Springer | EAN 9783030128210 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Sub-structure Coupling for Dynamic Analysis
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030128210 ISBN 13: 9783030128210
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a thorough treatment of a class of model reduction techniques for structural dynamical systemsIncludes applications to simulation-based problems such as reliability analysis, reliability sensitivity analysis, reliability-based design opti.
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Sub-structure Coupling for Dynamic Analysis
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030128180 ISBN 13: 9783030128180
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a thorough treatment of a class of model reduction techniques for structural dynamical systemsIncludes applications to simulation-based problems such as reliability analysis, reliability sensitivity analysis, reliability-based design opti.
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Sub-structure Coupling for Dynamic Analysis
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsLanguage: English
Published by Springer, Springer Okt 2020, 2020
ISBN 10: 3030128210 ISBN 13: 9783030128210
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. Inthis regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.
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Sub-structure Coupling for Dynamic Analysis
Book 40 of 49: Lecture Notes in Applied and Computational MechanicsLanguage: English
Published by Springer, Springer Mär 2019, 2019
ISBN 10: 3030128180 ISBN 13: 9783030128180
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. Inthis regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.
