Sub-structure Coupling for Dynamic Analysis

Application to Complex Simulation-Based Problems Involving Uncertainty de

,

Éditeur :

Springer


Collection :

Lecture Notes in Applied and Computational Mechanics

Paru le : 2019-03-26

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Description

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.
Pages
227 pages
Collection
Lecture Notes in Applied and Computational Mechanics
Parution
2019-03-26
Marque
Springer
EAN papier
9783030128180
EAN PDF
9783030128197

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
10138 Ko
Prix
94,94 €
EAN EPUB
9783030128197

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
21678 Ko
Prix
94,94 €