Speaker
Description
See Attached File.
Summary
This talk outlines a new paradigm for constructing predictive modeling and simulation tools from a fundamental physics perspective, rejecting the empiricism that has prevented progress in modeling hypersonic flows for decades. Inspired by model reduction strategies developed in statistical physics, this work addresses the challenges of the combinatorial explosion of the possible configurations of the system, obtaining new governing equations by projecting the master equation onto a few lower-dimensional subspaces. The distribution function within each subspace is then reconstructed using the Maximum Entropy Principle, thus ensuring compliance with the Detailed Balance. We will cover the critical aspects involved in model development, namely: (1) using direct numerical simulation to study the fundamental physics; (2) derivation of a reduced-order set of equations that give an accurate and physical consistent description of the physics at a much-reduced computational cost; (3) validation and uncertainty quantification. Applications discussed include hypersonics and discharge-induced plasma flows.
