Accession Number:

ADA550631

Title:

Fragmentation Modeling Using the Expectation Maximization Algorithm

Descriptive Note:

Final rept. Jan-Aug 2010

Corporate Author:

ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD WEAPONS AND MATERIALS RESEARCH DIRECTORATE

Personal Author(s):

Report Date:

2011-04-01

Pagination or Media Count:

22.0

Abstract:

The modeling of fractures typically uses the Poisson distribution to select the number of particles resulting from a fracture of a solid body. This applies to bullets when striking a plate. This report develops a method to model the number of subparticles using a mixture of Poisson distributions. The goal is to find the mixture with the smallest number of components that fits the data. Rather than attempting to find the distribution of lambda, it is assumed the values of lambda are clustered and the centroids of these clusters constitute a useful model.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE