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Sub-Structure Coupling for Dynamic Analysis: Application to Complex Simulation-Based Problems Involving Uncertainty, Jensen Hector, Papadimitriou Costas


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Автор: Jensen Hector, Papadimitriou Costas
Название:  Sub-Structure Coupling for Dynamic Analysis: Application to Complex Simulation-Based Problems Involving Uncertainty
ISBN: 9783030128210
Издательство: Springer
Классификация:



ISBN-10: 3030128210
Обложка/Формат: Paperback
Страницы: 227
Вес: 0.34 кг.
Дата издания: 28.10.2020
Язык: English
Размер: 23.50 x 15.49 x 1.30 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: 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.


Sub-structure Coupling for Dynamic Analysis

Автор: Hector Jensen; Costas Papadimitriou
Название: Sub-structure Coupling for Dynamic Analysis
ISBN: 3030128180 ISBN-13(EAN): 9783030128180
Издательство: Springer
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Цена: 17074.00 р.
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Описание: 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. In this 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.


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