Multi-Dimensional Analysis of TMD Lethality Data
Abstract
PEELS (Parametric Endo Exoatmospheric Lethality Simulation) calculations involve lethality determinations that typically include more than two parameters. A method of interpreting such multi-dimensional lethality results is presented using multiple regression techniques. A PEELS body to body calculation was run where the relative velocity, the strike angle, the impact point, and the overall density and length to diameter ratio of a cylindrical kill vehicle were varied. The mass of the kill vehicle was set at 15 kilograms and the threat was the unclassified PEELS TBMCS5 (STORM) target vehicle with a payload of 38 chemical submunitions. The parameters were considered to predict the lethality from hits, Pk/h, as polynomial factors in a regression equation. The resulting multiplication results in a very large number of terms that contain, as products, every combination of the variables in the factors. A number of reduced regression equations were set up that included the original parameters as well as a few of the cross terms. These equations were then subjected to multiple linear regression to examine the significance of the variable terms. Additional regression equations were set up to examine the specific functional relationship of one or two parameters (linear and quadratic) to the lethality. One of the unexpected results was, for this configuration, that the lethality was not a strong function of the relative velocity and the most effective kill vehicle had the lowest density and hardness.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1998
- Accession Number
- ADA356413
Entities
People
- Jeff Hambleton
- Nikolai Louie
Organizations
- Boeing