Rough Entropy Model on Damage Assessment of Component-Based Military Engineering

Abstract:

To reason and reflect the mapping relation between physics damage and structure functions of military engineering, mechanism was established for damage assessment of component-based military engineering. From the model, simulation, evaluation point of view, the damage simulation and results assessment system was given about component-based military engineering, and the rough entropy model was erected about damage assessment. On the basis of component unit, value element, damage simulation samples, this model integrated the component unit’s Entropy value within the overall structure of the military engineering, and the rough entropy information from simulation damage samples, which gave the integrative index value about damage effect of military engineering. Case showed that rough entropy model could comprehensively reason and infer the valuing rule between the physical damage and the overall function.

• Periodical: Applied Mechanics and Materials (Volumes 209-211)
• Pages: 1438-1443
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.209-211.1438
• Online since: October 2012
• Authors: Hui Yuan, Feng Shan Wang, Hou Qing Lu
• Keywords: Component Unit, Damage Analysis, Military Engineering, Military Simulation, Rough Entropy

References

[1] WANG Fengshan, ZHANG Hongjun. Research of military engineering damage assessment based on Bayesian Network, Chinese Journal of Computer Engineering and Applications. Beijing, Vol. 47-12(2011), pp.242-245.

[2] LI Xin-qi, XIANG Ai-hong, LI Hong-xia. Calculation and Assessment on Damage Effect of System Target, Chinese Journal of ACTA ARMENTARII. Beijing, Vol. 29-1(2008), pp.57-62.

[3] Shen Jun, LIU Ruichao, Yang Jianchao, et al. Experimental and Theoretical Studies of Projectile Penetrating Rocks, Chinese Journal of Rock Mechanics and Engineering. Wuhan, Vol. 27-5(2008), pp.946-952.

[4] Gu Jincai, CHEN Anmin, XU Jingmao, et al. Model Test Study of Failure Patterns of Anchored Tunnel Subjected to Explosion Load, Chinese Journal of Rock Mechanics and Engineering. Wuhan, Vol. 27-7(2008), pp.946-952.

[5] Fengshan Wang, Yan Cao, Yating Liu, et al. Fuzzy Evaluation on Landslide Damaged Head Part of Military Underground Engineering, Proceedings 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2010), IEEE Beijing Section. Xiamen, Vol. 3(2010).

DOI: 10.1109/icicisys.2010.5658646

[6] Wang Yun-feng, Feng Shun-Shan, Dong Yong-xiang, et al. Mathematical Description of Vulnerability of Deep Buried Target, Journal of Ballistics. Beijing, Vol. 19-12(2007), pp.59-62.

[7] LI Xin-qi, LU Jiang-ren. Study on Modeling of Damage Effect Index of System Target. Journal of Command Control and Simulation. Lianyungang, Vol. 29-2(2007), pp.69-73.

[8] Yasuichi Horibe. Entropy and Correlation, IEEE Transactions on System. Man and Cybernetics. America, Vol. SMC-15(1985), pp.641-642.

DOI: 10.1109/tsmc.1985.6313441

[9] Fengshan Wang, Hongjun Zhang, Yan Cao, et al. A Risk Early-warning Method in Earthquake Emergency Response based on Integrated Information Entropy and Matter-Element Model, International Journal of Intelligent Control and Systems. America, Vol. 16-1(2011).

[10] Liangsheng Qu, Liangming LI and Jay Lee. Enhanced Diagnostic Certainty Using Information Entropy Theory, Advanced Engineering Information. America, Vol. 17-2(2003), pp.141-150.

DOI: 10.1016/j.aei.2004.08.002

[11] Tomoko Kashima, Kenji Leibnitz, Hiroaki Ishii. Using Rough Sets for Decision-making in Ambient Information Environments, 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems (CIE40 2010). July (2010).

DOI: 10.1109/iccie.2010.5668361