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Development of Real-Time Dynamic Super-Element Partitioning

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-06ER84658
Agency Tracking Number: 80987S06-I
Amount: $749,998.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 43
Solicitation Number: DE-FG01-05ER05-28
Timeline
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
5199 East Pacific Coast Highway Suite 410
Long Beach, CA 90804
United States
DUNS: 603371238
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Frank Abdi
 Dr
 (562) 985-1100
 fabdi@alphastarcorp.com
Business Contact
 Kay Matin
Title: Dr
Phone: (562) 985-1100
Email: kmatin@alphastarcorp.com
Research Institution
N/A
Abstract

The ever-increasing size of computational structural mechanics (CSM) simulations in energy and other key national industries imposes a pressing need for commensurate increases in computational speed, in order to keep costs and computation times in check. This project will develop an innovative approach to ultra-large-scale CSM simulations and ultra-high speed computing. Phase I developed algorithms for computational structural modeling and simulation on non-Von Neumann computer architectures. A perturbation/trade study analysis showed that computation times could be reduced by 2 to 3 orders of magnitude. Phase II will use real-time, dynamic, super-element forced partitioning to enhance the high-performance computing approach developed in Phase I. Robust software will be developed for ultra-rapid evaluation of ultra-large scale structural problems, using parallel processing software and field programmable gate array (FPGA) chips. A unique single-element formulation for closely solving the stress field in the region of a circular hole in a tension loading will be developed and demonstrated. Commercial Applications and Other Benefits as described by the awardee: The new simulation approach should provide powerful, affordable software for the rapid analysis of ultra-large-scale engineering problems. For example, the technology should greatly reduce the excessive times/costs currently associated with configuration changes and design analyses of automotive and aerospace vehicles.

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

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