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ADAPTIVE GRID TECHNIQUES FOR USE IN COMPUTATIONAL FLUID DYNAMICS

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
3784
Program Year/Program:
1987 / SBIR
Agency Tracking Number:
3784
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Computational Mechan
7800 Shoal Creek Austin, TX 78757 0102
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1987
Title: ADAPTIVE GRID TECHNIQUES FOR USE IN COMPUTATIONAL FLUID DYNAMICS
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $200,000.00
 

Abstract:

THIS PROJECT FOCUSES ON THE TWO MOST IMPORTANT ISSUES OF ALL OF COMPUTATIONAL FLUID DYNAMICS: 1) HOW GOOD ARE THE NUMERICAL ANSWERS OBTAINED IN A COMPUTATION? AND 2) HOW CAN THE BEST POSSIBLE ANSWERS BE OBTAINED FOR A FIXED AND LIMITED COMPUTATIONAL EFFORT, BUDGET, OR COMPUTING CAPABILITY? IN GENERAL TERMS THE ANSWERS TO THESE QUESTIONS ARE 1) TO DETERMINE RELIABLE A-POSTERIORI ESTIMATES OF ERROR BASED ON FLOW RESIDUALS AND 2) TO DEVELOP SELF-ADAPTIVE SCHEMES TO REDUCE LOW ERRORS. THE PROJECT EXPLORES THESE DIFFICULT QUESTIONS AND CONCENTRATES ON THE DEVELOPMENT OF UNIQUE ALGORITHMS FOR RESOLVING THEM. ATTENTION IS GIVEN TO COMPLEX FLOW PHENOMENA IN REACTING FLUIDS AND EMPHASIS ON MODELS OF LASER FLOW FIELDS.

Principal Investigator:

Dr Jon M Bass
5124670618

Business Contact:

Small Business Information at Submission:

Computational Mechanics Co Inc
4804 Ave H Austin, TX 78751

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No