Sub-structure Coupling for Dynamic Analysis

Name: Sub-structure Coupling for Dynamic Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030128180
Price: 38435 HUF
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Szerző: Hector Jensen, Costas Papadimitriou

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

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This book combines a model reduction technique with an efficient parametrization scheme for the purp...

Információk a könyvről

Szerző

Hector Jensen, Costas Papadimitriou

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2019

oldal

227

EAN

9783030128180

ISBN

3030128180

Enbook ID

21163425

Kiadó

Springer Nature Switzerland AG

Súly

535

Méretek

155 x 235 x 19

Teljes leírás

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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Sub-structure Coupling for Dynamic Analysis

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