Development of a Real-Time Dynamic Super-Element Forced Partitioning

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-06ER84658
Agency Tracking Number: 80987S06-I
Amount: $99,995.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solitcitation Year: 2005
Solitcitation Topic Code: 43
Solitcitation Number: DE-FG01-05ER05-28
Small Business Information
Alpha Star Corporation
5199 East Pacific Coast, Suite 410, Long Beach, CA, 90804
Duns: N/A
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Frank Abdi
 Dr.
 (562) 985-1100
 fabdi@alphastarcorp.com
Business Contact
 Kay Matin
Title: Dr.
Phone: (562) 985-0721
Email: kmatin@alphastarcorp.com
Research Institution
N/A
Abstract
Computational structural mechanics (CSM) is used in energy and other key national industries, and the ever-increasing size of the simulations imposes a pressing neeed for commensurate increases in computational speed, in order to keep costs and computation times in check. This project will integrate a finite-element-model (FEM) sensitivity- compression technique with an ultra-rapid parallel-processing technology, in order to achieve a very significant increase in computational speed. Automatic, adaptive forced partitioning will be used to decompose the FEM model into super-elements for parallel processing. The overall goal is the development of robust software for the ultra-rapid evaluation of detailed structural models. In Phase I, a super-element sensitivity-derivative algorithm will be developed using existing mathematical formulations that accurately relate super-element sensitivity derivatives to FEM element stiffness. A dynamic, super-element partitioning algorithm will be developed by enhancing an existing, static partitioning algorithm, so that it can dynamically and flexibly reconfigure a structure from one that has symmetrical partitions to one that has asymmetrical partitions (super-elements). Commercial Applications And Other Benefits as described by the Applicant: The methodology should significantly decrease computing times and costs in many structural analysis/design applications such as aircraft, marine structures, and buildings. The methodology also should be applicable to other engineering fields such as computational fluid dynamics and computational electromagnetics

* information listed above is at the time of submission.

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