Modeling and Simulation Techniques Used in High Strain Rate Projectile Impact
Derek G. Spear,
Anthony N. Palazotto and
Ryan A. Kemnitz
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Derek G. Spear: Air Force Institute of Technology, Wright-Patterson AFB, Dayton, OH 45433, USA
Anthony N. Palazotto: Air Force Institute of Technology, Wright-Patterson AFB, Dayton, OH 45433, USA
Ryan A. Kemnitz: Air Force Institute of Technology, Wright-Patterson AFB, Dayton, OH 45433, USA
Mathematics, 2021, vol. 9, issue 3, 1-29
Abstract:
A series of computational models and simulations were conducted for determining the dynamic responses of a solid metal projectile impacting a target under a prescribed high strain rate loading scenario in three-dimensional space. The focus of this study was placed on two different modeling techniques within finite element analysis available in the Abaqus software suite. The first analysis technique relied heavily on more traditional Lagrangian analysis methods utilizing a fixed mesh, while still taking advantage of the finite difference integration present under the explicit analysis approach. A symmetry reduced model using the Lagrangian coordinate system was also developed for comparison in physical and computational performance. The second analysis technique relied on a mixed model that still made use of some Lagrangian modeling, but included smoothed particle hydrodynamics techniques as well, which are mesh free. The inclusion of the smoothed particle hydrodynamics was intended to address some of the known issues in Lagrangian analysis under high displacement and deformation. A comparison of the models was first performed against experimental results as a validation of the models, then the models were compared against each other based on closeness to experimentation and computational performance.
Keywords: high strain rate impact; modeling and simulation; smoothed particle hydrodynamics; finite element analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:3:p:274-:d:489858
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