[Faculty] Fwd: [SDSU-CSRC COLLOQUIUM]: "Shocked Particle-Laden Flows: Multi-scale Simulation and Uncertainty Quantification"

[Jose Castillo]

[image: cid:image001.jpg at 01D3A3DE.7CF4C6C0]

DATE:  *Friday, March 9, 2018*



TITLE:
*Shocked Particle-Laden Flows: Multi-scaleSimulation and Uncertainty
Quantification*



TIME:  *3:30PM*



LOCATION:  *GMCS 314*



SPEAKER:  *Drs. Soren Taveniers and Vasilis Fountoulakis*
*, Aerospace Engineering, SDSU*



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 meta models 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:  Gustaaf Jacobs







Dr. Jose E. Castillo
Director/Professor
Computational Science Research Center
5500 Campanile Drive
San Diego State University
San Diego, CA  92182-1245
(619) 59407205/3430, FAX (619) 594-2459





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-- 

Jose E. Castillo  Ph.D.

Director / Professor

Computational Science Research Center

5500 Campanile Dr

San Diego State University

San Diego CA 92182-1245

619 5947205/3430, Fax 619-594-2459

 http://www.csrc.sdsu.edu/mimetic-book/
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