JOURNAL ARTICLE

A shockwave calculation method for aluminized explosive of deep water explosion based on the Kirkwood‐Bethe model.

  • Published In: Propellants, Explosives, Pyrotechnics, 2023, v. 48, n. 5. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Sheng, Zhenxin; Hao, Yi; Liu, Jianhu; Wang, Haikun; Gao, Yuan; Ma, Feng 3 of 3

Abstract

To calculate the shockwave propagation of deep water explosions for different explosives quickly and accurately, a calculation method, based on the Kirkwood‐Bethe theory, was proposed. At the same time, an underwater explosion experiment of the aluminized explosive was carried out in the pressure vessel under high hydrostatic pressure. Then, the calculated results and experimental results were compared for peak pressure, impulse and energy flux density. The results indicated that the proposed method can quickly and accurately determine the shockwave propagation of deep water explosions for the aluminized explosives, with satisfactory agreement with experimental data. Using the proposed method, the shockwave of aluminized explosive under the conditions of different charge weight, different depth and different distance were calculated, the propagation laws of peak pressure, impulse and energy flux density with depth and distance were obtained. The calculation method proposed could be used to calculate shockwave propagation for any kind of explosive, if only knows the parameters of detonation and JWL equation of state. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Propellants, Explosives, Pyrotechnics. 2023/05, Vol. 48, Issue 5, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:07213115
  • DOI:10.1002/prep.202200247
  • Accession Number:163632457
  • Copyright Statement:Copyright of Propellants, Explosives, Pyrotechnics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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