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Article Dans Une Revue Computational Mechanics Année : 2019

Model reduction in computational homogenization for transient heat conduction

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This paper presents a computationally efficient homogenization method for transient heat conduction problems. The notion of relaxed separation of scales is introduced and the homogenization framework is derived. Under the assumptions of linearity and relaxed separation of scales, the microscopic solution is decomposed into a steady-state and a transient part. Static condensation is performed to obtain the global basis for the steady-state response and an eigenvalue problem is solved to obtain a global basis for the transient response. The macroscopic quantities are then extracted by averaging and expressed in terms of the coefficients of the reduced basis. Proof-of-principle simulations are conducted with materials exhibiting high contrast material properties. The proposed homogenization method is compared with the conventional steady-state homogenization and transient computational homogenization methods. Within its applicability limits, the proposed homogenization method is able to accurately capture the microscopic thermal inertial effects with significant computational efficiency.
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hal-02293230 , version 1 (25-09-2019)

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Abdullah Waseem, Thomas Heuzé, Laurent Stainier, M. G. D. Geers, V. Kouznetsova. Model reduction in computational homogenization for transient heat conduction. Computational Mechanics, 2019, ⟨10.1007/s00466-019-01767-3⟩. ⟨hal-02293230⟩
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