Optimization of Defence Ability of Defence Structures by Using Monte Carlo Simulation
Keywords:defence structure, blast resistance, Monte Carlo method, dispersed ammunition
The article is focused on the calculation of the survival probability of the defence structures based on the Monte Carlo method. According to the results, the optimal blast resistance of all defence structures due to the protection and expense requirements is conducted based on the optimization method. This article also reviews properties of the defence structures, characteristics of projectiles and factors influencing on the survival ability of the defensive. The computer simulation program has been developed and can be used for evaluating and optimizing the defence ability of the defence structures in various battle scenarios.
U. S. DEPARTMENT OF THE ARMY. Tactics, Techniques, and Procedures for Field Artillery Manual Cannon Gunnery, FM 6-40 [cited 2016-07-11]. 1999. Available from: <http://armypubs.army.mil>.
WEE, Y.L. Predicting the accuracy of unguided artillery projectiles [PhD Thesis], [cited 2016-08-21]. 2016. Naval Postgraduate School. Available from: <http://calhoun.nps.edu/handle/10945/50581>.
NGO, T., MENDIS, P., GUPTA, A. and RAMSAY, J. Blast Loading and Blast Effects on Structures – An Overview. Electronic Journal of Structural Engineering – special issue, 2007, vol. 7, p. 76-91. ISSN 1443-9255.
ACOSTA, P.F. Overview of UFC 3-340-02 Structures to Resist the Effects of Accidental Explosions. In: Structures Congress 2011 [cited 2016-07-03]. Reston, VA: American Society of Civil Engineers, 2011, p. 1454-1469. ISBN 978-0-7844-1171-1. https://doi.org/10.1061/41171(401)127.
BRODE, H.L. Numerical Solutions of Spherical Blast Waves. Journal of Applied Physics, 1955, vol. 26, no. 6, p. 766-775. ISSN 0021-8979. https://doi.org/10.1063/1.085.
MATLAB. Optimization ToolboxTM User’s Guide [cited 2016-08-01]. 2016. Available from: <https://www.mathworks.com/help/pdf_doc/optim/optim_tb.pdf>.
QUIRK, T.J. Excel 2010 for Engineering Statistics. Springer, 2014, 246 p. ISBN 978-3-319-02829-3. https://doi.org/10.1007/978-3-319-02830-9.
HARMON, M. Step‐By‐Step Optimization with Excel Solver – The Excel Statistical Master. Excel Master Series, 2012. ISBN 978-1-937159-15-3.
How to Cite
Copyright (c) 2017 Advances in Military Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Users can use, reuse and build upon the material published in the journal for any purpose, even commercially.