Optimizing the shape of the penetrator nose into Compressible Concrete in order to achieve the maximum penetration depth

Document Type : Solid Mechanics

Authors

Mechanical Engineering Department Imam Hossein University

Abstract

In this study, the shape of the kinetic penetrator nose is optimized with the aim of achieving maximum penetration. For optimization, Lagrange analytical optimization method and genetic evolutionary algorithm, several types of different nose-generating functions, two different objective functions, and shape coefficient and penetration depth have been used. Comparing the shape and depth of penetration of the optimized noses, it is observed that there is a good agreement between the results of the optimization in different cases. In analytical optimization, the objective function is to optimize the shape of the nose and the Lagrange optimization method is used. In numerical optimization, two different objective functions of penetration depth and nose shape coefficient as well as three types of nose generating functions have been used for optimization. The proximity of the optimization results in all the mentioned methods shows the high accuracy of the optimizations performed. In this paper, it is shown that the nose shape coefficient is a suitable objective function to optimize the nose of kinetic penetrators in order to achieve the maximum penetration depth. One of the characteristics that should be considered in optimizing the shape of the nose is the ratio of the stem radius to the length of the nose (τ). In this study, the ratio (τ) in optimization by different methods is equal to 0.3. After optimizing and obtaining the shape of the projectile nose, the penetration depth of the projectile at different speeds was calculated and compared with the penetration depth of the oyster noses with a ratio (τ) equal to 0.3. It can be seen that the penetration depth of the optimized noses is significantly greater than the penetration depth of the ips in different collision velocities.

Keywords

Smiley face

References

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History

  • Receive Date: 26 September 2020
  • Revise Date: 30 November 2020
  • Accept Date: 08 August 2021
  • Publish Date: 23 July 2021

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