Accession Number : ADA219373


Title :   Comparisons of Field Tests with Simulations: Abrams Program Lessons Learned


Descriptive Note : Final rept. Jul 1987-Oct 1989


Corporate Author : ARMY BALLISTIC RESEARCH LAB ABERDEEN PROVING GROUND MD


Personal Author(s) : Deitz, Paul H ; Smith, Jill H ; Suckling, John H


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a219373.pdf


Report Date : Mar 1990


Pagination or Media Count : 53


Abstract : The onset of full-scale, live-fire testing (LFT) has provided vulnerability workers with unprecedented opportunities to examine field results in the light of model predictions: Pre-Abrams experience with LFT showed, however, that the extant vulnerability models lacked 1 the capability to predict component damage states and 2 the ability to reflect at least the principal forms of randomness which are intrinsic to the vulnerability process. To remedy this shortcoming, the BRL/VLD developed a new stochastic point-burst vulnerability code, called SQuASH. SQuASH has been used to predict 48 shots in the Abrams LF program. Both subjective and statistical tests have been performed in an effort to compare field observations with computer predictions. In this paper, the vulnerability framework is described, the kinds of results yielded by the SQuASH predictions, and the lessons learned from efforts to calibrate the model based on the statistical tests performed.


Descriptors :   *TANKS(COMBAT VEHICLES) , *FIRING TESTS(ORDNANCE) , *FIELD TESTS , *VULNERABILITY , *COMPUTERIZED SIMULATION , *PREDICTIONS , KILL PROBABILITIES , MODELS , STATISTICAL TESTS , DAMAGE ASSESSMENT , LIGHT , MATHEMATICAL PREDICTION , PERSONNEL , LOSSES , VEHICLES , LOW FREQUENCY , LESSONS LEARNED , STOCHASTIC PROCESSES , ARMOR , FUNCTIONS , PERFORATION , TEST AND EVALUATION , MATHEMATICAL MODELS


Subject Categories : Combat Vehicles


Distribution Statement : APPROVED FOR PUBLIC RELEASE