Efficient stochastic simulation approach for RTM process with random fibrous permeability - Archive ouverte HAL
Article Dans Une Revue Composites Science and Technology Année : 2011

Efficient stochastic simulation approach for RTM process with random fibrous permeability

Résumé

An efficient numerical approach is presented for the simulation of mold filling process with random fibrous permeability as input. Suitable dimension-reduction techniques are employed to represent all the random fields in the physical system. The required accuracy in tracking the moving resin flow front is guaranteed by the Level Set Method (LSM). The Probabilistic Collocation Method (PCM) is applied in the efficient solution of the non-linear stochastic system. Numerical examples for different injection schemes are presented to demonstrate the cost-effectiveness of the current approach in predicting the variability in mold filling results in comparison to the traditional Monte Carlo Simulation (MCS).

► Efficient numerical simulation of mold filling with random permeability as input. ► Use of dimension-reduction techniques to represent random fields. ► Coupling of Level Set Method and Probabilistic Collocation Method. ► Numerical examples for injection schemes compared to Monte Carlo Simulation.
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Dates et versions

hal-00786583 , version 1 (09-02-2013)

Identifiants

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Fan Zhang, Benoît Cosson, Sébastien Comas-Cardona, Christophe Binetruy. Efficient stochastic simulation approach for RTM process with random fibrous permeability. Composites Science and Technology, 2011, 71 (12), pp.1478. ⟨10.1016/j.compscitech.2011.06.006⟩. ⟨hal-00786583⟩
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