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Efficiency of coupling schemes for the treatment of steady state fluid-structure thermal interactions

Abstract : Partitioned approaches for the simulation of coupled conjugate heat transfer are gaining popularity in fields that require accurate thermal predictions. Considerable efforts have been put into determining stable coupling schemes, but performance enhancements have been neglected. This paper presents, for the first time, a detailed and comprehensive study of the numerical properties of Dirichlet-Robin coupling procedures, used in conjugate heat transfer simulation, with emphasis put on the optimal local coupling formulation that was recently derived from a stability analysis. This all-new optimal coupling approach provides local adaptability and has never been tested on a complex setup. This investigation looks to determine the relevance and the limitations of the theory when applied to complex conjugate heat transfer setups. The stability theory of the optimal Dirichlet-Robin coupling scheme is first recalled, then, a realistic 3D application, with complex geometry and flow structures, is used to evaluate the performance and sensitivity of Dirichlet-Robin couplings, with respect to various numerical parameters. This detailed study allows, for the first time, to evaluate the advantages and limitations of the recently proposed optimal procedure, when used on realistic 3D CHT problems. It turns out that the local optimal Dirichlet-Robin formulation outperforms all what is found in literature, and insures unconditional stability with monotone convergence for all considered setups of the 3D model.
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Submitted on : Thursday, February 23, 2017 - 3:37:54 PM
Last modification on : Monday, June 27, 2022 - 3:04:14 AM



Roch R. El Khoury, Marc Errera, Khalil El Khoury, Maroun Nemer. Efficiency of coupling schemes for the treatment of steady state fluid-structure thermal interactions. International Journal of Thermal Sciences, Elsevier, 2017, 115, pp.225 - 235. ⟨10.1016/j.ijthermalsci.2017.02.001⟩. ⟨hal-01475269⟩



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