A new model for the simulation of particle resuspension by turbulent flows based on a stochastic description of wall roughness and adhesion forces

We propose in this paper a new model aiming at simulating particle reentrainment in turbulent flows using stochastic Lagrangian methods. The resuspension model presented here emphasizes the role played by surface roughness in the reentrainment process, both in the stochastic calculation of adhesion forces based on a random model of large-scale and fine-scale wall asperities and in a newly proposed kinetic scenario of resuspension. The whole model has been implemented in a dedicated code and statistics of interest are obtained through Monte Carlo simulations. A step-by-step validation process is carried out by first assessing the adhesion-force sub-model, before analyzing the ability of the model to predict particle onset along the wall as measured in recent experimental studies. The complete particle resuspension model is then validated by comparing numerical outcomes to experimental data, where it is seen that the model is able to capture the various phenomena quite well. The present work follows a precedent study devoted to the modeling of particle deposition [Guingo, M., & Minier, J.-P. (2007). A stochastic model of coherent structures in boundary layers for the simulation of particle deposition in turbulent flows. In: Proceedings of the 6th international conference on multiphase flow. Leipzig, Germany; Guingo, M., & Minier, J.-P. (2008). A stochastic model of coherent structures for particle deposition in turbulent flows. Physics of Fluids 20, 053303].