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Advanced Computational Algorithms for Simulating Weapon-Target Interaction

Award Information

Department of Defense
Award ID:
Program Year/Program:
2004 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
ACTA Incorporated
2790 Skypark Drive, Suite 310 Torrance, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 2004
Title: Advanced Computational Algorithms for Simulating Weapon-Target Interaction
Agency / Branch: DOD / ARMY
Contract: W911NF-04-C-0106
Award Amount: $749,973.00


This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaBlanca can solve coupled problems involving (a) failure and penetration of solids, (b) heat transfer, (c) phase change, (d) chemical reactions, and (e) multiphase flow. It is designed with GUI capabilities to utilize multiple processors on a single computer or on computer clusters. In Phase I, we demonstrated the feasibility of using CartaBlanca to simulate a bullet perforating a metal plate and bullet penetrating a metal plate backed by high explosives. In Phase II, we plan to improve CartaBlanca performance in parallel computers and compare CartaBlanca predictions with legacy codes such as EPIC. Then we plan to perform a formal model validation of CartaBlanca by comparing its predictions with experimental data using ACTA's Nonlinear Model V&V Toolbox for projectiles penetrating metal and concrete targets. In Phase III, we plan to use CartaBlanca to train a Fast Running Model for predicting weapon-target interaction problems.

Principal Investigator:

G. W. Wathugala
Principal Investigator

Business Contact:

James Hudson
Vice President
Small Business Information at Submission:

2790 Skypark Drive, Suite 310 Torrance, CA 90505

EIN/Tax ID: 953745782
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Los Alamos National Laboratory
Group T-3 P.O. Box 1663, Mail Stop B216
Los Alamos, NM 87545, NM 87545
Contact: W. B. VanderHeyden
Contact Phone: (505) 667-9099
RI Type: Federally funded R&D center (FFRDC)