Jensen hector (29 résultats)

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 240.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Etat : New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

Paperback. Etat : Brand New. 227 pages. 9.25x6.10x0.51 inches. In Stock.

Taschenbuch. Etat : 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.…

Hardcover. Etat : Brand New. 244 pages. 9.25x6.10x0.79 inches. In Stock.

Etat : New.

Etat : New.

Paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Etat : Good. 1st Edition. Published 1899-1904. Top of free front endpaper has former ownership signature of ichtylogist Rich[ard] H. Backus. Binding has wear; spine is scuffed; top outer edge has some wear; interior has age browning; front original printed wrapper, first title page, and many pages have minor soil and/or foxing; many pages have minor creasing in margins; ten pages have manuscript annotation, nine of which are in pencil. Paginated: 39, [3] p., 2 fold-out black-and-white plates, and 1 spectacular double plate in color -- 88 p., 4 b&w plates, 2 color plates -- 99 p., 10 b&w plates (in addition to the plates, there are in-text illustrations throughout). Huge, heavy book. Size: 12 7/8 x 10 1/4 inches. [otob: 24L].…

Etat : new. Questo è un articolo print on demand.

Etat : new. Questo è un articolo print on demand.

Gebunden. Etat : 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.…

Etat : 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. …

Taschenbuch. Etat : 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.…

Buch. Etat : 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.…

Etat : New. Print on Demand pp. 240.

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND pp. 240.

Etat : New. PRINT ON DEMAND.