Research Portfolio

Two-way coupled Cloud-In-Cell modeling of non-isothermal particle-laden flows: a Subgrid Particle-Averaged Reynolds Stress-Equivalent (SPARSE) formulation

Published:

Together with Gustaaf Jacobs and H.S. Udaykumar, at San Diego State University I worked on developing a two-way coupled Cloud-In-Cell (CIC) formulation for particle-laden flows that accounts for cloud size and subgrid-scale stresses using averaging techniques, and for cloud deformation using methods from continuum mechanics. It traces a physical cloud of particles as a point and distributes its influence on the carrier flow via a multivariate Gaussian distribution function.

Multilevel Monte Carlo

Published:

Together with Daniel Tartakovsky and Sebastian Bosma, at Stanford University I developed an accelerated multilevel Monte Carlo approach via stratification/Latin hypercube sampling for the estimation of cumulative distribution functions.