Numerical Study on RC Multilayer Perforation with Application to GA-BP Neural Network Investigation
Vol. 6 No. 4 (2020): April
Research Articles
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The finite element model of projectile penetrating multi-layered reinforced concrete target was established via LS-DYNA solver. The penetration model was validated with the test data in terms of residual velocity and deflection angle. Parametric analyses were carried out through the verified penetration model. Seven influential factors for penetration conditions, including the initial velocity of projectile, initial angle of attack of projectile, initial dip angle of projectile, the first layer thickness of concrete target, the residual layer thickness of concrete target, target distance and the layer number of concrete target, were put emphasis on further analysis. Furthermore, the influence of foregoing factors on residual velocity and deflection angle of projectile were numerically obtained and discussed. Based on genetic algorithm, the BP neural network model was trained by 263 sets of data obtained from the parametric analyses, whereby the prediction models of residual velocity and attitude angle of projectile under different penetration conditions were achieved. The error between the prediction data obtained by this model and the reserved 13 sets of test data is found to be negligible.
Sun, W., Shi, Z., Chen, B., & Feng, J. (2020). Numerical Study on RC Multilayer Perforation with Application to GA-BP Neural Network Investigation. Civil Engineering Journal, 6(4), 806–819. https://doi.org/10.28991/cej-2020-03091509
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[17] Duraku, Ramadan K, and Riad Ramadani. "Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network.” Civil Engineering Journal 5, no. 8 (August 21, 2019): 1698–1713. doi:10.28991/cej-2019-03091364.
[18] Chi, Li, and Li Lin. "Application of BP Neural Network Based on Genetic Algorithms Optimization in Prediction of Postgraduate Entrance Examination.” 2016 3rd International Conference on Information Science and Control Engineering (ICISCE) (July 2016). doi:10.1109/icisce.2016.57.
[19] Ding, Shifei, Chunyang Su, and Junzhao Yu. "An Optimizing BP Neural Network Algorithm Based on Genetic Algorithm.” Artificial Intelligence Review 36, no. 2 (February 18, 2011): 153–162. doi:10.1007/s10462-011-9208-z.
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[21] Al-Ani, Rami Raad Ahmed, and Basim Hussein Khudair Al-Obaidi. "Prediction of Sediment Accumulation Model for Trunk Sewer Using Multiple Linear Regression and Neural Network Techniques.” Civil Engineering Journal 5, no. 1 (January 27, 2019): 82. doi:10.28991/cej-2019-03091227.
[22] Gao, Xudong, and Q. M. Li. "Trajectory and Loads for Oblique Penetration Into Concrete Targets by Rigid Projectile.” 31st International Symposium on Ballistics (December 2, 2019). doi:10.12783/ballistics2019/33218.
[23] Gao, Xudong, and Q. M. Li. "Effects of Structure Characteristics of Projectile on Trajectory and Loads for Oblique Penetration into Concrete.” 31st International Symposium on Ballistics (December 2, 2019). doi:10.12783/ballistics2019/33220.
[2] Luo, Wen, Viet T. Chau, and ZdenÄ›k P. BaŠ¾ant. "Effect of High-Rate Dynamic Comminution on Penetration of Projectiles of Various Velocities and Impact Angles into Concrete.” International Journal of Fracture 216, no. 2 (March 5, 2019): 211–221. doi:10.1007/s10704-019-00354-0.
[3] Ma Zhaofang, Zhuoping Duan, Zhuocheng Ou, and Fenglei Huang. Experimental and numerical simulation of projectile obliquely penetrating multilayer spaced concrete targets [J]. Journal of Beijing Institute of Technology 36 (10) (2016): 1001-1005. doi:10.15918/j.tbit1001-0645.2016.10.003.
[4] Yue Xiaobing, Yuan Long, Xiang Fang and Wen Xie. Simulation of high-speed simulation of steel projectile penetrating multilayer targets [J]. Journal of PLA University of Science and Technology, Natural Science Edition 4 (4) (2003): 40-44. doi:10.3969/j.issn.1009-3443.2003.04.010.
[5] Ji Xia, Li Wang. Numerical analysis of projectile penetrating multilayer target [J]. Journal of Detection and Control, 2006, 28 (2): 42-45.
[6] Haipeng Liu, Shiqiao Gao, Lei Jin. Experimental and simulation analysis of projectile penetrating through a finite concrete target [J]. Ordnance Industry Journal, 2010 (s1): 59-63.
[7] Junwei Sun, Ya Zhang, Shizhong Li. Analysis of Overload Characteristics of Projectile Penetrating into Targets with Different Spacing [J]. Journal of North University of China (Natural Science Edition), 2013, 34 (1): 24-28.
[8] Yossifon, G., A.L. Yarin, and M.B. Rubin. "Penetration of a Rigid Projectile into a Multi-Layered Target: Theory and Numerical Computations.” International Journal of Engineering Science 40, no. 12 (July 2002): 1381–1401. doi:10.1016/s0020-7225(02)00013-7.
[9] Booker, Paul M., James D. Cargile, Bruce L. Kistler, and Valeria La Saponara. "Investigation on the Response of Segmented Concrete Targets to Projectile Impacts.” International Journal of Impact Engineering 36, no. 7 (July 2009): 926–939. doi:10.1016/j.ijimpeng.2008.10.006.
[10] Feng Jie. Numerical simulation of attitude deflection of projectile penetrating thin concrete target [D]. Beijing Institute of Technology, 2016.
[11] Feng, Jun, Wenjin Yao, Weixin Li, and Wenbin Li. "Lattice Discrete Particle Modeling of Plain Concrete Perforation Responses.” International Journal of Impact Engineering 109 (November 2017): 39–51. doi:10.1016/j.ijimpeng.2017.05.017.
[12] Feng, Jun, Weiwei Sun, Zhilin Liu, Chong Cui, and Xiaoming Wang. "An Armour-Piercing Projectile Penetration in a Double-Layered Target of Ultra-High-Performance Fiber Reinforced Concrete and Armour Steel: Experimental and Numerical Analyses.” Materials & Design 102 (July 2016): 131–141. doi:10.1016/j.matdes.2016.04.021.
[13] Duan, Zhuo-ping, Shu-rui Li, Zhao-fang Ma, Zhuo-cheng Ou, and Feng-lei Huang. "Attitude Deflection of Oblique Perforation of Concrete Targets by a Rigid Projectile.” Defence Technology (September 2019). doi:10.1016/j.dt.2019.09.009.
[14] Smith, Jovanca, Gianluca Cusatis, Daniele Pelessone, Eric Landis, James O'Daniel, and James Baylot. "Discrete Modeling of Ultra-High-Performance Concrete with Application to Projectile Penetration.” International Journal of Impact Engineering 65 (March 2014): 13–32. doi:10.1016/j.ijimpeng.2013.10.008.
[15] Chen, Xuguang, Fangyun Lu, and Duo Zhang. "Penetration Trajectory of Concrete Targets by Ogived Steel projectiles–Experiments and Simulations.” International Journal of Impact Engineering 120 (October 2018): 202–213. doi:10.1016/j.ijimpeng.2018.06.004.
[16] Feng, Jun, Wenbin Li, Xiaoming Wang, Meili Song, Huaqing Ren, and Weibing Li. "Dynamic Spherical Cavity Expansion Analysis of Rate-Dependent Concrete Material with Scale Effect.” International Journal of Impact Engineering 84 (October 2015): 24–37. doi:10.1016/j.ijimpeng.2015.05.005.
[17] Duraku, Ramadan K, and Riad Ramadani. "Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network.” Civil Engineering Journal 5, no. 8 (August 21, 2019): 1698–1713. doi:10.28991/cej-2019-03091364.
[18] Chi, Li, and Li Lin. "Application of BP Neural Network Based on Genetic Algorithms Optimization in Prediction of Postgraduate Entrance Examination.” 2016 3rd International Conference on Information Science and Control Engineering (ICISCE) (July 2016). doi:10.1109/icisce.2016.57.
[19] Ding, Shifei, Chunyang Su, and Junzhao Yu. "An Optimizing BP Neural Network Algorithm Based on Genetic Algorithm.” Artificial Intelligence Review 36, no. 2 (February 18, 2011): 153–162. doi:10.1007/s10462-011-9208-z.
[20] Adeli, Hojjat. "Neural Networks in Civil Engineering: 1989–2000.” Computer-Aided Civil and Infrastructure Engineering 16, no. 2 (March 2001): 126–142. doi:10.1111/0885-9507.00219.
[21] Al-Ani, Rami Raad Ahmed, and Basim Hussein Khudair Al-Obaidi. "Prediction of Sediment Accumulation Model for Trunk Sewer Using Multiple Linear Regression and Neural Network Techniques.” Civil Engineering Journal 5, no. 1 (January 27, 2019): 82. doi:10.28991/cej-2019-03091227.
[22] Gao, Xudong, and Q. M. Li. "Trajectory and Loads for Oblique Penetration Into Concrete Targets by Rigid Projectile.” 31st International Symposium on Ballistics (December 2, 2019). doi:10.12783/ballistics2019/33218.
[23] Gao, Xudong, and Q. M. Li. "Effects of Structure Characteristics of Projectile on Trajectory and Loads for Oblique Penetration into Concrete.” 31st International Symposium on Ballistics (December 2, 2019). doi:10.12783/ballistics2019/33220.
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