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Mesh Generation and Adaption for High Reynolds Number RANS Computations

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CF75P
Agency Tracking Number: 090035
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T8.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-01-29
Award End Date (Contract End Date): 2011-01-28
Small Business Information
555 Sparkman Dr. Suite 1612
Huntsville, AL 35816-3431
United States
DUNS: 928516442
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Lawrence Spradley
 Principal Investigator
 (256) 721-1769
 lawrence@researchsouthinc.com
Business Contact
 Lawrence Spradley
Title: Business Official
Phone: (256) 721-1769
Email: lawrence@researchsouthinc.com
Research Institution
 George Mason University
 Not Available
 
4400 University Drive
Fairfax, VA 22030
United States

 (703) 993-9309
 Domestic Nonprofit Research Organization
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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