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Chapitre D'ouvrage Année : 2011

High Performance Strategies for Large Scale Complex Structural Analysis

Jean-Yves Cognard
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Résumé

Reducing the time and cost of mechanical design requires the non-linearities to be taken into account when simulating the behaviour of the structures. Unfortunately, these simulations often lead to numerical costs too high for their use to be widespread in the industry. The joint use of powerful algorithms and parallel computers is necessary to significantly reduce the cost of these complex simulations. In order to obtain accurate numerical predictions, especially in respect of the safety constraints which are more and more required in high-tech industries, realistic models have to be used. For such analysis, often the effects of aging, sometimes in severe environments, can have a great influence on the mechanical behaviour of the materials which can lead the solution of coupled problems. Therefore, such studies must take into account more and more accurate numerical mechanical properties which leads to the model use of the various parts of the structures studied. Unfortunately, the numerical simulation of these problems can be difficult, as they generally lead to the solution of large scale complex time-dependent non-linear problems.
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Dates et versions

hal-00593243 , version 1 (13-05-2011)

Identifiants

Citer

Jean-Yves Cognard, Pierre Verpeaux. High Performance Strategies for Large Scale Complex Structural Analysis. P. Iványi & B.H.V. Topping. Trends in Parallel, Distributed, Grid and Cloud Computing for Engineering, Saxe-Cobourg Publications, pp.243-268, 2011, Computational Science, Engineering & Technology Series, ⟨10.4203/csets.27.11⟩. ⟨hal-00593243⟩
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