Data Analysis and Mining for Penetration Environment Dynamics (DAMPED)

ABSTRACT:This Phase II proposal includes a design for an analysis/integration architecture including full implementation and testing of the multi-core architecture during Phase II. During the Phase I effort, we implemented a substantial subset of the complete architecture as a prototype and performed some preliminary data mining to demonstrate the efficacy of the approach to hard target fuze penetration environment characterization. We envision the development of a systematic design of experiments methodology that can perform data mining on this complex underlying database, ultimately serving as a fuze design tool for survivability and performance. The methodology will exploit the available experimental data, as well as set up and perform additional simulations as required to fill in critical gaps in the data.BENEFIT:Implementation of the DAMPED Architecture allows users and simulation developers to provide capabilities to support cross-domain data/algorithm utilization, tool integration; constructs for creating/managing computational flows; support data mapping, standardization, transport, and transformation; handle massive data from tests or simulations, and flexible data storage and management capabilities. Anyar expects many of the contractors performing warhead penetration analysis will apply the process/data algorithms developed for DAMPED to warhead structural/fuze response estimation as tools in their fuze survivability projects.  The algorithms will provide a robust tool for estimating the complex loading environment for fuzes and these capabilities will enable the government and vendors to incorporate, fast running (orders of magnitude), hydrocode level results into simulating warhead/fuze survivability against a broad spectrum of targets using the DAMPED database and tools.