International audienceWe present recent developments that have been made within the framework of the VIMMP EU project (Virtual Materials Market Place). Our objective is to set up a methodology to analyse the sensitivityand then quantify uncertainty in numerical simulations of multiphase flows to a number of input variables. In this talk, we start by introducing the workflow used for the multiphase flow simulations. The physical case studied here consists in the point-source dispersion of particles by a turbulent pipe flow. Numerical simulations are performed by coupling a CFD simulation of the turbulent pipe flow (using standard turbulence models) to a particle-tracking simulation (using a stochastic Lagrangian model). The simulations are p...
The aim of CFD simulations is to model and compute the ideal performance of a flow under some partic...
Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of ...
Multiphase flows are central to many manufacturing and processing technologies, with applications sp...
International audienceWe present recent developments that have been made within the framework of the...
The purview of this thesis is insight into, and development of, methods for uncertainty quantificati...
Talk: Regular Abstract: Predictive simulations based on multiphase computational fluid dynamics (CF...
The main purpose of this thesis has been to improve the deterministic computational simulations of t...
In this study, we would like to evaluate and improve the performance of Wall-Modeled Large-Eddy Simu...
Commercial multiphase flow simulators typically give one value for each output parameter simulated i...
I develop new ideas of accurate and robust numerical methods for compressible multiphase flow and co...
Particle-laden turbulent flows subject to radiative heating are relevant in many applications, for e...
Particle deposition in fully-developed turbulent pipe flow is quantified taking into account uncerta...
International audienceThis works deals with sensitivity analysis for the Navier-Stokes equations. Th...
A mixed uncertainty quantification method was applied to computational fluid dynamics (CFD) modeling...
© 2018 Elsevier B.V. The development of CFD-DEM is critical for investigating particle phenomena and...
The aim of CFD simulations is to model and compute the ideal performance of a flow under some partic...
Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of ...
Multiphase flows are central to many manufacturing and processing technologies, with applications sp...
International audienceWe present recent developments that have been made within the framework of the...
The purview of this thesis is insight into, and development of, methods for uncertainty quantificati...
Talk: Regular Abstract: Predictive simulations based on multiphase computational fluid dynamics (CF...
The main purpose of this thesis has been to improve the deterministic computational simulations of t...
In this study, we would like to evaluate and improve the performance of Wall-Modeled Large-Eddy Simu...
Commercial multiphase flow simulators typically give one value for each output parameter simulated i...
I develop new ideas of accurate and robust numerical methods for compressible multiphase flow and co...
Particle-laden turbulent flows subject to radiative heating are relevant in many applications, for e...
Particle deposition in fully-developed turbulent pipe flow is quantified taking into account uncerta...
International audienceThis works deals with sensitivity analysis for the Navier-Stokes equations. Th...
A mixed uncertainty quantification method was applied to computational fluid dynamics (CFD) modeling...
© 2018 Elsevier B.V. The development of CFD-DEM is critical for investigating particle phenomena and...
The aim of CFD simulations is to model and compute the ideal performance of a flow under some partic...
Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of ...
Multiphase flows are central to many manufacturing and processing technologies, with applications sp...