Adaptive and Embedded Modeling of Highly Compressible Shock-laden Reacting Flows
Abstract
The realization of novel and efficient propulsion approaches requires access to detailed computational tools and models that achieve two goals- a) probe complex, multiscale, multi-domain physics to enable next generation concepts; b) provide critical engineering analysis that can reduce design uncertainties and complement experimental studies. Highly compressible reacting flows are characterized by high levels of compressibility, localized chemical heat release, and strong thermal and pressure-density gradients. To accommodate the wide range of length and time scales, adaptive mesh refinement (AMR) is proposed as the framework, especially for problems that involve localized phenomena such as reaction zones and shock-dominated physics. A modeling and simulation ecosystem that leverages block-based AMR, emerging supercomputing platforms, and advances in data assimilation is proposed. The research components include- a) higher-order methods for shock-containing flows to establish smooth convergence of critical phenomena; b) a novel block-based modeling framework that leverages AMR formulation; c) multiresolution models including detonation-fitted simulation approach that can vastly reduce the computational cost. These models and tools will be demonstrated on multiple applications of interest, with a focus on understanding fundamental physics and to enable computational design.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 05, 2025
- Source ID
- FA95502410017
Entities
People
- Venkatramanan Raman
Organizations
- Air Force Office of Scientific Research
- Board of Regents of the University of Michigan
- United States Air Force