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Couplage et améliorations de la méthode SPH pour traiter des écoulements à multi-échelles temporelles et spatiales

Abstract : The thesis is articulated in three axes. A first part was devoted to the improvement of the normal flux method (NFM) whose development was initiated in a previous thesis. This line of research, which was not part of theoriginal subject of the thesis, was initiated in order to answer to the industrial problems of NEXTFLOW SOFTWARE, financier of the thesis. The developments made it possible to adapt to the NFM formalism different aspects (modeling of viscosity, detection of free surface,particle disorder) as well as to improve the precision of the operators.The second part of the thesis focused on the development of a method of adaptive particle refinement,and more particularly its effectiveness in a context of industrial applicability. Particular emphasis has been placed on the robustness, accuracy and calculation time of the state of the art of refinement methods. From there, strong limitations have emerged and have led to develop a refinement approach inspired by the AMR. The developments have been validated on many test cases and are now integrated within the tools used by NEXTFLOW-SOFTWARE. The last part concerned the coupling between SPH and Finite Volumes methods. The development of a coupling algorithm made it possible to manage inputs / outputs between the two solvers in a generic and transparent way for both 2D and 3D simulations. Then, an improvement was proposed allowing to create / remove dynamically particles at the boundaries of the Finite Volume solver. Validations are in progress for the 3D extension.
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Submitted on : Wednesday, October 28, 2020 - 2:33:26 PM
Last modification on : Wednesday, April 27, 2022 - 5:02:33 AM


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  • HAL Id : tel-01529282, version 2



Laurent Chiron. Couplage et améliorations de la méthode SPH pour traiter des écoulements à multi-échelles temporelles et spatiales. Mécanique des fluides [physics.class-ph]. École centrale de Nantes, 2017. Français. ⟨NNT : 2017ECDN0007⟩. ⟨tel-01529282v2⟩



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