Mesh Generation and Adaption for High Reynolds Number RANS Computations

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$100,000.00
Award Year:
2010
Program:
STTR
Phase:
Phase I
Contract:
NNX10CF75P
Award Id:
95653
Agency Tracking Number:
090035
Solicitation Year:
n/a
Solicitation Topic Code:
T8
Solicitation Number:
n/a
Small Business Information
555 Sparkman Dr. Suite 1612, Huntsville, AL, 35816
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
928516442
Principal Investigator:
LawrenceSpradley
Principal Investigator
(256) 721-1769
lawrence@researchsouthinc.com
Business Contact:
LawrenceSpradley
Business Official
(256) 721-1769
Research Institute:
George Mason University

4400 University Drive
Fairfax, VA, 22030
(703) 993-9309

Abstract
This proposal offers to provide NASA with an automatic mesh generator for the simulation of aerodynamic flows using Reynolds-Averages Navier-Stokes (RANS) models. The tools will be capable of generating high-quality, highly-stretched (anisotropic) grids in boundary layer regions and transition smoothly to inviscid flow regions even in an adaptive context. The objective of the work is to offer a unified view for generating quality and robust RANS meshes coupled naturally with anisotropic mesh adaptation. Our innovation is to view the anisotropic mesh generation within the Riemannian metric framework which thus far has been used exclusively in anisotropic mesh adaptation. Using the metric-based framework allows much easier handling of the large mesh size ratios involved in the computation, whereas traditional methods use the Euclidean framework to compute distance and volume. This innovative view to generate these meshes makes the entire procedure more generic and much more robust. The emphasis is being put on deriving a completely automatic process to generate quality and robust anisotropic meshes. Our existing and proven software package will be modified to include these innovative methods. A NASA test case will be computed for validation of the methods. The software will be delivered in Phase II.

* information listed above is at the time of submission.

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