CDV Method for Validating AJEM using FUSL Test Data

M&S validation is critical for ensuring credible weapon system evaluations. System-level evaluations of Armored Fighting Vehicles (AFV) rely on the Advanced Joint Effectiveness Model (AJEM) and Full-Up System Level (FUSL) testing to assess AFV vulnerability. This report reviews and improves upon one of the primary methods that analysts use to validate AJEM, called the Component Damage Vector (CDV) Method. The CDV Method compares vehicle components that were damaged in FUSL testing to simulated representations of that damage from AJEM....

2023 · Thomas Johnson, Lindsey Butler, David Grimm, John Haman, Kerry Walzl

Warhead Arena Analysis Advancements

Fragmentation analysis is a critical piece of the live fire test and evaluation (LFT&E) of the lethality and vulnerability aspects of warheads. But the traditional methods for data collection are expensive and laborious. New optical tracking technology is promising to increase the fidelity of fragmentation data, and decrease the time and costs associated with data collection. However, the new data will be complex, three-dimensional “fragmentation clouds,” possibly with a time component as well, and there will be a larger number of individual data points....

2021 · John Haman, Mark Couch, Thomas Johnson, Kerry Walzl, Heather Wojton

Sample Size Determination Methods Using Acceptance Sampling by Variables

Acceptance Sampling by Variables (ASbV) is a statistical testing technique used in Personal Protective Equipment programs to determine the quality of the equipment in First Article and Lot Acceptance Tests. This article intends to remedy the lack of existing references that discuss the similarities between ASbV and certain techniques used in different sub-disciplines within statistics. Understanding ASbV from a statistical perspective allows testers to create customized test plans, beyond what is available in MIL-STD-414....

2019 · Thomas Johnson, Lindsey Butler, Kerry Walzl, Heather Wojton