Multi-Physics, Multi-scale Ground Vehicle Reliability Prediction

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-07-C-0076
Agency Tracking Number: A062-224-3244
Amount: $69,979.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: A06-224
Solicitation Number: 2006.2
Small Business Information
ALPHA STAR
5199 E. PACIFIC COAST HWY, SUITE # 410, LONG BEACH, CA, 90804
DUNS: 603371238
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 GALIB ABUMERI
 SENIOR SCIENTIST
 (562) 985-1100
 GABUMERI@ALPHASTARCORP.COM
Business Contact
 KAY MATIN
Title: PRESIDENT
Phone: (562) 985-0721
Email: KMATIN@ALPHASTARCORP.COM
Research Institution
N/A
Abstract
Design of US Army ground vehicles, especially those that operate in combat environments, faces increasingly challenging requirements. The vehicles should be capable of operating in contrasting rough terrains and must support a wide range of optional equipment and payloads. Component and system durability /reliability are critical to mission success. Ground vehicle systems reliability is a function of the reliability of its sub-assemblies and their individual components. A multi-scale, multi-physics computational system is needed to address the complexity of the overall vehicle design. The proposed computational tool will evaluate component reliability, and eventually an entire Army vehicle. A multi-physics approach will evaluate the reliability of different components to various factors: mechanical fatigue, thermal stress, erosion, corrosion and other degradation effects, usage history, maintenance history, and manufacturing processes, including defects. The computational capability will be inclusive of: component modeling, finite element analysis, material degradation modeling, damage progression and damage tracking, and reliability evaluation. To dramatically increase computational efficiency, a parallel computing capability will be incorporated to concurrently assess reliability of multiple components prior to determining the overall system reliability. This capability will enable engineers to assess the reliability of a whole vehicle system and to eventually optimize the design for desired reliability.

* information listed above is at the time of submission.

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