北京航天长征飞行器研究所,北京 100076
北京理工大学 爆炸科学与安全防护全国重点试验室,北京 100081
中国兵器科学研究院,北京 100089
通信作者邮箱:liuyan@bit.edu.cn
收稿:2025-03-05,
网络首发:2025-12-25,
纸质出版:2026-02-28
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李旭, 王凯, 孙凯, 等. 基于靶体分段叠加的超高速深侵彻混凝土数值模拟优化加速方法[J]. 兵工学报, 2026,47(2):250151.
LI Xu, WANG Kai, SUN Kai, et al. Accelerated Numerical Simulation Method for Ultra-high Speed Deep Penetration of Projectile into Concrete Target[J]. Acta Armamentarii, 2026, 47(2): 250151.
李旭, 王凯, 孙凯, 等. 基于靶体分段叠加的超高速深侵彻混凝土数值模拟优化加速方法[J]. 兵工学报, 2026,47(2):250151. DOI: 10.12382/bgxb.2025.0151.
LI Xu, WANG Kai, SUN Kai, et al. Accelerated Numerical Simulation Method for Ultra-high Speed Deep Penetration of Projectile into Concrete Target[J]. Acta Armamentarii, 2026, 47(2): 250151. DOI: 10.12382/bgxb.2025.0151.
为探究较大尺寸弹体超高速深侵彻混凝土的侵彻规律,开展40 mm直径尖卵形空心弹体超高速侵彻混凝土靶试验,有效着靶初速在1466~1877 m/s之间,证明所设计弹体在超高速侵彻条件下的结构稳定性。通过三维扫描获得了试验后弹靶外形,超高速侵彻使弹体侵彻深度和靶体开坑规模显著提升。进一步地,针对超高速深侵彻细观模拟中大型模型求解效率低下的问题,提出一种基于靶体分段叠加的超高速深侵彻混凝土数值模拟优化加速方法。研究结果表明,相对传统的一体化建模求解方法,所提优化加速方法兼顾表征能力与计算效率,可实现对弹体侵蚀与弹道偏转的良好表征,与理论模型和试验结果保持良好一致;该方法从建模到求解的全流程优化解决了超高速深侵彻细观模拟问题中大型细观模型建模耗时和深侵彻模拟求解低效的两大主要限制,具有重要的工程应用意义,并为超高速深侵彻的细观尺度机理探究提供基础。
In order to explore the penetration law of large-sized projectile during ultra-high speed deep penetration into concrete
the experiments of ultra-high-speed penetration of 40 mm-diameter ogive-nose hollow projectiles into concrete targets are conducted with the effective impact velocity ranging from 1 466 to 1 877 m/s. The structural stability of the designed projectiles during ultra-high speed penetration is confirmed through experiment. The shapes of the targets and projectiles after experiments are obtained through 3D scanning
and the ultra-high speed penetration results in a significant increase in the depth of penetration and the size of impact carter. Furthermore
a numerical simulation optimization acceleration method for ultra-high speed deep penetration of projectile into a segmented stacking concrete target is proposed to accelerate the solution of large-scale models in meso-scale simulations of ultra-high speed deep penetration. Compared to the traditional integrated modeling and solving method
the proposed optimization acceleration method balances the representational capacity and computational efficiency
and can achieve good representation of projectile erosion and ballistic deflection
which is consistent with theoretical and experimental results. Based on previous work
the whole process optimization from modeling to solving has solved the two main limitations of the time-consuming modeling of large-scale meso model and the inefficient solution of deep penetration simulation in the meso-scale simulation of ultra-high speed deep penetration
which has important engineering application significance and provides a foundation for exploring the meso-scale mechanism for ultra-high speed deep penetration.
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