A study of the effectiveness analysis for survivability of a surface warship from a torpedo attack
Hyunjin Cho,
Myoungin Shin,
Jinho Lee,
Wan-Jin Kim,
Woo Shik Kim and
Wooyoung Hong
Journal of Simulation, 2019, vol. 13, issue 4, 304-315
Abstract:
We design a simulator in order to seek a surface warship’s survivability against a torpedo attack using MATLAB GUI. Assuming that a torpedo chases a warship in an acoustic-homing way, we model its mobility and detection mechanism according to passive sonar equation. A surface warship manoeuvres into a specified evasive course while deploying static and mobile decoys when a torpedo is detected. Taking a warship’s survival probability as a measure of effectiveness, we perform Monte Carlo simulation by changing four main factors, which include the decoy deployment plan, the torpedo’s initial location, the torpedo’s maximum target detection range, and the mobile decoy’s speed. The simulation results show that using both mobile decoys and static decoys guarantees a higher survival probability than using only static decoys, which depends on their deployment locations and speeds. We further investigate which factors are more likely to affect the survivability via regression analysis, which was based on the simulation results. The regression model results show that torpedo’s detection ability and the speed of mobile decoys highly affect the warship’s survival probability.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2019.1601504 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:13:y:2019:i:4:p:304-315
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1080/17477778.2019.1601504
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().