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dc.contributor.authorAsinari, Pietro
dc.contributor.authorCeglia, Diego
dc.contributor.authorIcardi, Matteo
dc.contributor.authorPrudhomme, Serge
dc.contributor.authorTempone, Raul
dc.date.accessioned2017-06-05T08:35:48Z
dc.date.available2017-06-05T08:35:48Z
dc.date.issued2015-01-07
dc.identifier.urihttp://hdl.handle.net/10754/624093
dc.description.abstractMultilevel Monte Carlo (MLMC) is an efficient and flexible solution for the propagation of uncertainties in complex models, where an explicit parametrization of the input randomness is not available or too expensive. We present several applications of our MLMC algorithm for flow, transport and diffusion in random heterogeneous materials. The absolute permeability and effective diffusivity (or formation factor) of micro-scale porous media samples are computed and the uncertainty related to the sampling procedures is studied. The algorithm is then extended to the transport problems and multiphase flows for the estimation of dispersion and relative permeability curves. The impact of water drops on random stuctured surfaces, with microfluidics applications to self-cleaning materials, is also studied and simulated. Finally the estimation of new drag correlation laws for poly-dispersed dilute and dense suspensions is presented.
dc.titleFlow, transport and diffusion in random geometries II: applications
dc.typePoster
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.dateJanuary 6-9, 2015
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015)
dc.conference.locationKAUST
dc.contributor.institutionPolitecnico di Torino
dc.contributor.institutionEcole Polytechnique de Montréal
kaust.personCeglia, Diego
kaust.personIcardi, Matteo
kaust.personTempone, Raul
refterms.dateFOA2018-06-14T03:18:25Z


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