Development of Multi-Frequency Multi-Scale Radiation Transport Modeling

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-08-C-0051
Agency Tracking Number: F08A-020-0062
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2008
Solitcitation Year: 2008
Solitcitation Topic Code: AF08-T020
Solitcitation Number: 2008.A
Small Business Information
PRISM COMPUTATIONAL SCIENCES, INC.
455 Science Drive, Suite 140, Madison, WI, 53711
Duns: 024968708
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joseph J MacFarlane
 Senior Scientist
 (608) 280-9182
 jjm@prism-cs.com
Business Contact
 Joseph MacFarlane
Title: President
Phone: (608) 280-9182
Email: jjm@prism-cs.com
Research Institution
 UNIV. OF WISCONSIN
 E. D Barrett
 21 North Park Street
Suite 6401
Madison, WI, 53715
 (608) 262-3822
 Nonprofit college or university
Abstract
The objective of this proposal is to develop advanced radiation transport modeling techniques that accurately and efficiently treat transport in media having widely varying optical properties; in particular, hot gases and plasmas with optical depths ranging from the optically thin to the optically thick regimes. In doing this, we will develop a hybrid diffusion-Monte Carlo (HDMC) model that efficiently transports multi-frequency radiation on multi-dimensional grids. During Phase I, we will perform initial development of the HDMC software, and demonstrate its accuracy and efficiency on simple 1-D grids. Also in Phase I, we will: study the potential for utilizing variance reduction methods for improving efficiency, investigate the use of escape probability techniques to more accurately treat the transport of line radiation, and develop plans for implementing efficient domain decomposition techniques for 3-D grids. Modeling techniques developed during Phase I will be extended to support simulations on 2-D and 3-D grids during Phase II. The new models will be benchmarked against known solutions, and will be tested for efficiency and scalability to many-processor systems. Successful completion of this work will result in an efficient multi-scale multi-dimensional radiation transport package that accurately treats radiation flow in materials with realistic frequency-dependent radiative properties.

* information listed above is at the time of submission.

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