High-order modeling of applied multi-physics phenomena

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,826.00
Award Year:
2009
Program:
STTR
Phase:
Phase I
Contract:
FA9550-09-C-0021
Agency Tracking Number:
F08A-023-0287
Solicitation Year:
2008
Solicitation Topic Code:
AF08-T023
Solicitation Number:
2008.A
Small Business Information
Scientific Simulations LLC
1582 Inca, Laramie, WY, 82072
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
831107271
Principal Investigator:
Dimitri Mavriplis
Professor, Mechanical Engineering
(307) 766-2868
mavripl@infionline.net
Business Contact:
Dimitri Mavriplis
Owner, Scientific Simulations LLC
(307) 766-2868
mavripl@infionline.net
Research Institution:
University of Wyoming
Dorothy Yates
Research Office, Dept 3355
1000 E. University Ave.
Laramie, WY, 82071
(307) 766-5353
Nonprofit college or university
Abstract
A new physics-based simulation capability will be developed based on high-order discretizations in both space and time for application to practical engineering problems involving complex physical phenomena and complicated geometries. The goal is to develop a tool which can accurately handle multiphysics simulations, both in analysis mode, and for design optimization purposes. The approach will rely on high-order (up to 6th order) Discontinuous Galerkin discretizations in space and second-order backwards difference as well as higher-order (up to 5th order) implicit Runge-Kutta temporal discretizations. Efficient solution techniques will be employed in order to make these methods competitive with current simulation tools in terms of required computational resources. The favorable asymptotic properties of these methods, combined with the use of unstructured meshes, will enable accurate simulation of complex phenomena with wide ranges of scales from first principles. BENEFIT: The use of high-order methods will deliver much higher accuracy for complex multi-scale problems while using coarser underlying grids. This in turn will reduce discretization errors to manageable levels, providing superior reliability in numerical analysis and optimization problems, while at the same time relieving the grid generation bottleneck for high resolution calculations, and enhancing scalability on massively parallel multi-core architectures. Commercial applications exist in computational fluid dynamics, particularly for difficult problems involving wakes or vortical flows such as rotorcraft and high incidence maneuvering aircraft, as well as other areas such as aeroacoustics and electromagnetics.

* information listed above is at the time of submission.

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