Smart Weapon End-to-End Performance Model
The Smart Weapon End-to-End Performance Model (SWEEPM) is a modeling software developed by the United States Army Research Laboratory (ARL), designed to measure the overall effectiveness of all types of munitions.[1] SWEEPM was conceived in 2008 and completed in April 2013.[2]
The model provides simulated performance data on conceptual or existing guided artillery rounds. Ballistic engineers analyze information gathered on the effectiveness of a round in battle, such as impact against a tank or truck.[1]
SWEEPM software can measure other variables such as material composition of the round, muzzle velocity, how soldiers aim and fire weapon systems, weather, and stationary or moving targets. This information assists researchers in studying scenarios that indicate the amount of damage the round causes.[1][3]
Researchers rely on high-performance computers housed within the ARL Supercomputing Research Center managed by ARL's Computational and Information Sciences Directorate at Aberdeen Proving Ground, Maryland. SWEEPM's high-fidelity physics sub-modules can only be run on these supercomputers.[2]
Mary K. Arthur, a mathematician in the Lethality Division of ARL, is the principal investigator credited with developing SWEEPM after recognizing a void in modeling and analyzing smart weapon systems from target acquisition through damage estimation.[2][4]
References
[edit]- ^ a b c Laboratory, T’Jae Gibson, Army Research. "Military analysts develop smart weapon software model". The Fort Campbell Courier. Retrieved 2018-07-16.
{{cite news}}: CS1 maint: multiple names: authors list (link) - ^ a b c "New Army Research Lab model knocks three centuries of analysis down to two weeks | U.S. Army Research Laboratory". www.arl.army.mil. Retrieved 2018-07-16.
- ^ "Thinking on their feet – smart weapons for infantry - Army Technology". Army Technology. 2014-04-06. Retrieved 2018-07-16.
- ^ Arthur, Mary (2012-08-13). "The Smart Weapon End-to-End Performance Model (SWEEPM)". AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics. doi:10.2514/6.2012-4796. ISBN 9781624101830.