Accelerator for UAV Modeling in Near-Ship Environments Based on Commodity Graphics Cards

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0402
Agency Tracking Number: N074-004-0297
Amount: $69,987.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: N07-T004
Solicitation Number: N/A
Small Business Information
51 East Main Street, Suite 203, Newark, DE, 19711
DUNS: 071744143
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 James Durbano
 Chief Hardware Architect
 (302) 456-9003
Business Contact
 Eric Kelmelis
Title: CEO
Phone: (302) 456-9003
Research Institution
 Lyle Long
University Park, PA, 16802
 (814) 865-1172
 Nonprofit college or university
UAVS (Unmanned Aircraft Vehicle System) integration with naval vessels is currently realized in limited form. This is largely due to the fact that the operational envelopes of these vehicles are based solely on at-sea flight testing. In addition to the complexities involved with at-sea flight testing, the unsteady nature of ship-airwakes and the use of automated UAV control software necessitates that these tests be extremely conservative in nature. Instead of flight testing, modeling and simulation could be used to predict UAV operation under these conditions. Unfortunately, the computational requirements for a fully-coupled computational fluid dynamics (CFD) solution render such an approach impractical. To overcome this limitation requires the creation of simulators that model the full level of detail required but have drastically reduced run times. To overcome these obstacles requires a two-pronged approach: algorithmic improvements and implementation improvements. In this project, we address both of these needs. We will create a solver by coupling the combined computational aeroacoustic (CAA) method with more traditional CFD algorithms and implement it on commodity graphics cards to reduce computation times by orders of magnitude. The result will be a tool for the rapid and accurate simulations analysis of UAVs in near-ship environments.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government