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Research on the Crushing Process of PELE Casing Material Based on the Crack-Softening Algorithm and Stochastic
Liangliang Ding1, Jingyuan Zhou2, Wenhui Tang3
1College of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, China. dingliangliang14@nudt.edu.cn.
This study enhances projectile penetration simulations by incorporating stochastic failure and crack-softening algorithms. The improved models accurately predict projectile performance and fragment behavior, validating the approach for engineering applications.
Area of Science:
- Computational mechanics
- Materials science
- Ballistics
Background:
- Realistic simulation of projectile penetration is crucial for engineering.
- Existing models often lack accuracy in capturing material failure dynamics.
- Penetration with Enhanced Lateral Efficiency (PELE) projectiles require advanced modeling.
Purpose of the Study:
- To enhance the simulation of PELE projectile penetration and crushing.
- To integrate stochastic failure and crack-softening algorithms into material models.
- To validate the improved simulation's accuracy against experimental data.
Main Methods:
- Theoretical analysis to determine material failure parameters (stochastic constant γ, fracture energy Gf, tensile strength σT).
- Finite element analysis using AUTODYN software.
- Qualitative and quantitative comparisons of simulation results with experimental data.
Main Results:
- The addition of stochastic failure and crack-softening algorithms improved simulation realism.
- Simulations incorporating both algorithms showed close agreement with experimental results.
- Key parameters like residual velocity and maximum radial fragment velocity were accurately predicted.
Conclusions:
- The proposed modeling approach significantly enhances the accuracy of PELE projectile simulations.
- The validated algorithms provide reliable guidance for engineering research and development.
- This work offers a more realistic computational tool for analyzing projectile-material interactions.
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