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Modélisation et simulation de l'agglomération des colloïdes dans un écoulement turbulent

Abstract : Ph.D thesis focuses on modeling and numerical simulation of collision and agglomeration of colloidal particles in a turbulent flow by using a new method. These particles are affected by both Brownian and turbulent effects. The first part of the work deals with current models of the physical phenomenon, from the transport of single particles to a model for physico-chemical adhesive forces, and points out the critical step which is the detection of interactions between particles (collisions). This detection is initially studied by applying classical algorithms existing in the literature. Although they are very efficient in the context of particles subject to turbulent agitation, first conclusions show the limitations of these existing methods in terms of numerical costs, considering the treatment of colloids subject to the Brownian motion. The second part of this work proposes a new vision of the physical phenomenon focusing on the random diffusive behaviour. This issue is adressed from a stochastic point of view as a process conditionned in space and time. Thus, a new method for the detection and treatment of collisions is presented and validated, which represents considerable gain in terms of numerical cost. The potential of this new approach is validated and opens new opportunities for the use of stochastic methods applied to the representation of physics
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Mikaël Mohaupt. Modélisation et simulation de l'agglomération des colloïdes dans un écoulement turbulent. Autre [cond-mat.other]. Institut National Polytechnique de Lorraine, 2011. Français. ⟨NNT : 2011INPL068N⟩. ⟨tel-01749524⟩

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