Volume 4 Number 4 (Jul. 2014)
Home > Archive > 2014 > Volume 4 Number 4 (Jul. 2014) >
IJAPM 2014 Vol.4(4): 280-285 ISSN: 2010-362X
DOI: 10.7763/IJAPM.2014.V4.299

Monte Carlo Simulations of Weapon Effectiveness Using Pk Matrix and Carleton Damage Function

Pawat Chusilp, Weerawut Charubhun, and Pattadon Koanantachai
Abstract—Carleton damage function has been commonly utilized to describe the weapon-target interaction in the weapon effectiveness analyses. This function is simplified from the actual weapon lethality data and these simplifications can affect the analysis results. This paper investigates the difference between results of Monte Carlo simulations to determine the probability of target damage that utilize the Carleton damage function and the results of the same simulations that utilize a non-simplified probability of kill (Pk) matrix. A problem of multiple shots of an unguided artillery weapon against an area target was chosen as a case study. Two sets of Monte Carlo simulations to determine the probability of damage on a target were performed for several numbers of shots and target sizes. The first set of simulations utilized the Pk matrix while the second set utilized the Carleton damage function. Statistical analyses were performed. It was suggested that there was difference between the results of two sets of simulations but the effect size was small.

Index Terms—Damage function, probability of damage, Monte Carlo simulation, weapon effectiveness.

Pawat Chusilp, Weerawut Charubhun, and Pattadon Koanantachai are with Defence Technology Institute, 47/433 Changewattana Road, Pakkred, Nonthaburi 11120, Thailand (e-mail: pawat.c@dti.or.th, weerawut.c@dti.or.th, pattadon.k@dti.or.th).

Cite: Pawat Chusilp, Weerawut Charubhun, and Pattadon Koanantachai, "Monte Carlo Simulations of Weapon Effectiveness Using Pk Matrix and Carleton Damage Function," International Journal of Applied Physics and Mathematics vol. 4, no. 4, pp. 280-285, 2014.

General Information

ISSN: 2010-362X
Frequency: Bimonthly (2011-2014); Quarterly (Since 2015)
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Abstracting/ Indexing: Index Copernicus, EI (INSPEC, IET), Chemical Abstracts Services (CAS), Electronic Journals Library, Nanowerk Database, Google Scholar, EBSCO, and ProQuest
E-mail: ijapm@iap.org
  • Aug 06, 2018 News!

    IJAPM Vol 7, No 1-No 3 have been indexed by EI (Inspec)   [Click]

  • Oct 10, 2018 News!

    The paper published in Vol 8, No 4 has received dois from Crossref

  • Sep 29, 2018 News!

    Vol 8, No 4 has been published with online version     [Click]

  • Apr 23, 2018 News!

    The paper published in Vol 8, No 3 has received dois from Crossref

  • Apr 19, 2018 News!

    Vol 8, No 3 has been published with online version     [Click]

  • Read more>>
  • 2018和彩往期 ,六和彩四小尾数 ,香港六和彩的开奖记录
  • 香港白小姐一肖一码28,香港白小姐一肖一码
  • 香港马会免费资料大全,香港马会免费资料内部资料公开
  • 现场报码www.0077kj.com,现场开奖.com
  • 2018年欲钱料正版2018年欲钱料正版大全2018年歇后语001 一153
  • 香港开i奖现场直播视频, 香港骞马会管家婆玄机彩图
  • 彩虹六号猎恐是人机吗,彩虹六号每日挑战
  • 香港创富国际交易中心香港创富彩图库香港创富网
  • 2018年香港开奖结果2018年香港开奖结果历史记录2018年香港开奖结果现场直播