Higher-Order Common Platform for complex Multi-Physics Computation

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,942.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
F33615-03-C-3323
Award Id:
57747
Agency Tracking Number:
021VA-2320
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
31255 Cedar Valley Drive, Suite 327, Westlake Village, CA, 91362
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
005100560
Principal Investigator:
Ramakanth Munipalli
Member Technical Staff
(818) 865-3718
mrk@hypercomp.net
Business Contact:
Vijaya Shankar
Vice-President
(818) 865-3713
vshankar@hypercomp.net
Research Institute:
n/a
Abstract
The cost-effective design of future high performance complex aerospace systems spanning incompressible to hypersonic flow regimes requires highly accurate simulations of coupled multidisciplinary problems that involve fluid-structure interaction withturbulence, magneto-hydrodynamic (MHD) effects, complex vortex interactions and finite-rate chemistry, aeroelasticity, aero-heating, acoustics and free surface capture. HyPerComp, Inc., in collaboration with Prof. Stanley Osher of Levelset Systems Inc.,proposes to develop a new generation of multiphysics simulation tools with spectral-like accuracy by building on the strengths of our current TEMPUS (Time-Domain EM Parallel Unstructured Simulator) environment for Computational Electromagnetics (CEM). Webase our high order work on the Discontinuous Galerkin (DG) technique that has already shown tremendous benefits in CEM. In phase-I we demonstrated this method for test problems in magneto-hydrodynamics (MHD) and investigated the effects of implicit timestepping, slope limiters, and the presence of source terms for schemes up to 4th order. In phase-II, we intend to enhance the high order DG algorithms to at least 10th order with inclusion of high order geometry and boundary conditions, and apply it to aselection of multidisciplinary problems in three dimensions. In addition, our expertise in moving and adaptive mesh generation will be applied to enhance these solutions and pave the way for problems with variable/morphing geometry.

* information listed above is at the time of submission.

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