TITLE:

Shocked particle-laden flows: multi-scale simulation and uncertainty quantification

DATE:

Friday, March 9th, 2018

TIME:

3:30 PM

LOCATION:

GMCS-314

SPEAKER:

Drs. Soren Taverniers and Vasilas Fountoulakis, Department of Aerospace Engineering, San Diego State University.

ABSTRACT:

Shocked particle-laden flows occur in a number of engineering applications
and natural environments like scramjet combustors, detonation of explosives,
and volcanic eruptions. Such problems are often simulated in an Eulerian-Lagrangian
framework that tracks particles as points (Particle-Source-In-Cell, or PSIC)
in a co-moving frame while solving the carrier fluid on an Eulerian grid. On a
process-scale level, computational constraints typically require particles to
be amalgamated into macro-particles (Cloud-In-Cell, or CIC). We propose SPARSE,
a two-way coupled CIC model, which can accurately describe the average dynamics
of the particle cloud while using significantly less computational particles
compared to standard PSIC models. While the current iteration of SPARSE still
requires a priori closure of the Reynolds-equivalent stresses, the aim is to
close the latter a posteriori using high-resolution meso-scale simulations.
This requires the construction of metamodels to link the meso- and macro-scales,
which introduces epistemic uncertainty into the SPARSE model. We propose a
framework for quantifying the propagation of this uncertainty to the particle
and fluid quantities, and demonstrate that it accurately predicts the uncertainty
for problems governed by advection and Euler equations. The integration of this
uncertainty quantification framework in the SPARSE algorithm will enable us to
build an efficient, fully-predictive multi-scale modeling approach for shocked
particle-laden flows..

HOST:

Dr. Gustaaf Jacobs

DOWNLOAD:

PDF File