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Title:	Munition penetration-depth prediction : SERDP SEED Project MR-2629
Authors:	Song, Arnold J. West, Brendan A. Taylor, Oliver-Denzil S. O’Connor, Devin T. Parno, Matthew D. Hodgdon, Taylor S. Cole, David M. Clausen, Jay L.
Keywords:	Discrete element method Finite element method Numerical analysis Projectiles Penetration mechanics Prediction Soils
Publisher:	Cold Regions Research and Engineering Laboratory (U.S.) Engineer Research and Development Center (U.S.)
Series/Report no.:	ERDC/CRREL;TR-17-12
Abstract:	Existing models for predicting the penetration depth of munitions and explosives of concern are inaccurate and insufficient from a user (range manager, U.S. Army Corps of Engineers project manager, or environmental consultant) operability perspective for current needs. We attribute poor model performance to (1) a heavy dependence on empirically derived parameterizations poorly linked to the physical properties of the target material or (2) physics-based models that inadequately capture the salient mechanical processes, especially in the first meter of penetration. Consequently, we have developed a micromechanical-based model using a hybrid discrete element model (DEM) / finite element model (FEM) approach capable of a detailed treatment of near-surface soil properties. To examine the effects of varying levels of moisture on the dynamic behavior of a soil, we fabricated a small-scale triaxial shear test to inform the development and calibration of the DEM contact model. We conducted projectile-drop tests into sand with a scale version of a 57 mm projectile and measured projectile penetration to compare with model results.
URI:	http://hdl.handle.net/11681/22905 http://dx.doi.org/10.21079/11681/22905
Appears in Collections:	Technical Report