A Method for Predicting Fragmentation Characteristics of Natural and Performed Explosive Fragmentation Munitions

Abstract

The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Energetics & Warheads Division (AMSTA-AR-WEE-C)Picatinny Arsenal, NJ 07806-5000 SPONSORINGIMONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S)ARDEC, WECAC Information Research Center (AMSTA-AR-WEL-T) SPONSORIMONITOR'S REPORT NUMBER(S)Picatinny Arsenal, NJ 07806-5000 Technical Report ARWEC-TR-01 007 DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTES ABSTRACTNew methodology for simulating performance of explosive fragmentation munitions presented in this work integrates three-dimensional axisymmetric hydrocode analyses with analytical fragmentation modeling. The newly developed computational technique is applied to both the natural and preformed explosive fragmentation munitions problems. The developed model remarkably accurately predicts the fragment spray experimental data.

Prediction of fragmentation and experimentally inaccessible material properties of steel using finite element analysis

“…The increased mesh refinement predicts a similar maximum von Mises stress, but provided much better fragmentation resolution. At 60 μs, onset of a fragmentation pattern predicted by Mott et al appeared [19,20]. Results of the mesh refinement modeling are shown in Fig.…”