Advanced Computational Algorithms for Simulating Weapon-Target Interaction

This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaBlanca can solve coupled problems involving (a) failure and penetration of solids, (b) heat transfer, (c)phase change, (d) chemical reactions, and (e) multiphase flow. It is designed with GUI capabilities to utilize multiple processors on a single computer or on computer clusters. It is written entirely in Java programming language, and is easily ported tomany computer platforms. In Phase I, we propose to demonstrate the capabilities of the FLIP-MPM-MFM approach by solving a classic problem where a lead bullet impacts and penetrates an aluminum plate, and compare results with experimental data. In PhaseII, we will validate the algorithm by simulating complex weapon-target interaction problems and comparing them to existing available experimental data using ACTA?s Nonlinear Model V&V Toolbox. In Phase III, we plan to use CartaBlanca to develop FastRunning Models for simulating weapon-target interaction in the Tri-Services Modular Effectiveness Vulnerability Assessment (MEVA)code. This project will result in a validated advanced computational algorithm that can be used for virtual testing ofmilitary systems for survivability and design studies. Full scale testing of weapon-target interaction problems is expensive and time consuming. In contrast, virtual testing using validated simulation software can be performed anywhere safely, quicklyand economically for multiple scenarios. Virtual testing also allows the Army to test future weapons with environments that may not be accessible for testing. Because of mesh tangling, commercially available Lagrangian codes are not suitable forsimulating the secondary debris created by impact detonation of army munitions on urban structures. The new algorithm developed by LANL overcomes these difficulties. The validated LANL code will be used to develop Fast Running Models (FRMs) that capturethe important aspects of HFPB (High Fidelity Physics Based) models. These FRMs can be used for quick assessments, including probabilistic Monte Carlo analysis, by personnel who are not computational mechanics experts.