ID 原文 译文
39776 该框架综合考虑不同种类的仿真输入、效果指标和效能指标，能够一体化地指导复杂武器系统的作战效能仿真评估工作。 Within the framework, simulation inputs are classified into different categories different outcome measure layers and different effectiveness measure layers are considered.
39777 结合弹道导弹的作战效能评估进行了案例研究。 An example of combat effectiveness evaluation framework for typical ballistic missiles is presented to demonstrate the proposed framework.
39778 受二级轻气炮发射速度的限制，在以往研究中极少进行弹体速度大于8 km/s的Whipple防护结构撞击试验， Limited by the acceleration ability of two-stage light gas guns, few hypervelocity impact experiment of Whipple shield with projectile speed higher than 8 km/s has been performed.
39779 导致建立高速区弹道极限方程所依据的实验数据并不能完全反映Whipple防护结构在高速区的防护能力。 The ballistic limit equations can't fully describe the protection ability of Whipple shield in high-velocity range because of the lack of experimental data.
39780 通过将GRAY三相物态方程代入自编物质点法计算程序，对厚靶侵彻、Whipple防护结构高速区撞击等工况进行数值模拟， GRAY three-phase equation of state is used in the material point method calculation program to simulate the penetration of thick target plate and the high-velocity impact of Whipple shield.
39781 得到Whipple防护结构在高速区的弹道极限，仿真结果表明其高速区防护能力高于弹道极限方程的预测， The numerical result of Whipple shield ballistic limit shows that the ballistic limit in high-velocity range is higher than the forecasting of traditional ballistic limit equations.
39782 对航天器防护结构的设计具有参考价值。 This result is valuable for the design of spacecraft protection structure.
39783 针对破片战斗部起爆至破片着靶整个物理过程进行数值计算与可视化仿真， Numerical computation and visualization simulation are carried out for the whole physical process from the explosion of warhead to the fragments impacting target.
39784 使用MVC架构、Framework组件库和JSON数据格式等计算机软件技术进行了系统整体设计和实现，实现了系统易扩展、跨平台、易维护特性。 The whole system is designed and implemented by using MVC architecture, Framework component library and JSON data format computer software technology, which make the system scalable, cross-platform and easy to maintain.
39785 并根据用户场景中存在高计算、大数据量、多用户并发等情况设计了分布式计算架构。 The distributed computing architecture is designed according to the high computation, large data volume and multi-user concurrency in user scenarios.