反对称铺层碳纤维复合材料圆柱壳的双稳态应力特性

双稳态复合材料可广泛应用于各类可变结构的设计。针对反对称铺层的圆柱壳,利用有限元软件ABAQUS的Standard准静态分析,模拟其双稳态跳变过程和跳回过程,探讨在整个连续过程中圆柱壳上的应力分布情况,以及应力随时间和载荷变化的趋势,从而对该类可变结构的设计起到指导作用。结果表明:该类复合材料圆柱壳跳变过程中最大应力出现在载荷施加点与约束点附近,第二稳态下应力关于板中心呈中心对称分布,最大应力沿板壳对角线出现在四个角内侧附近,而跳回过程中应力由第二稳态下的分布慢慢变为集中在约束点附近。而且整个圆柱壳上的最大应力时刻与最大载荷施加的时刻不重叠,具有滞后性。     

无奇点三维攻击时间控制滑模导引律

为研究导弹在视场角约束下的三维攻击时间控制问题,提出一种三维非线性滑模导引律。利用攻击时间误差设计滑模面,推导出三维形式的俯仰和偏航加速度指令;通过对所设计制导律进行简单修正,解决了零初始前置角引起的奇点问题;从数学上证明了该导引律的稳定性和收敛性,讨论了导引律相关参数的取值范围,分析了与纯比例导引法、解耦三维导引律之间的关系。仿真结果表明,所设计导引律能够在视场角约束条件下有效实现攻击时间增大或减小的控制;俯仰和偏航平面的耦合程度越强,该导引律控制能耗小的优势越为明显。     

Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer

Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simu-lation has been an excellent supplement, but the computation is time-consuming. Main aim of this thesis was to develop and test an effective tool for real-time prediction of projectile penetrations to laminates by training a neural network and a decision tree regression model. A large number of finite element models were developed;the residual velocities of projectiles fromfinite element simulations were used as the target data and processed to produce sufficient number of training samples. Study focused on steel 4340tpolyurea laminates with various configurations. Four different 3D shapes of the projectiles were modeled and used in the training. The trained neural network and decision tree model was tested using independently generated test samples using finite element models. The predicted projectile velocity values using the trained machine learning models are then compared with thefinite element simulation to verify the effectiveness of the models. Additionally, both models were trained using a published experimental data of projectile impacts to predict residual velocity of projectiles for the unseen samples. Performance of both the models was evaluated and compared. Models trained with Finite element simulation data samples were found capable to give more accurate predication, compared to the models trained with experimental data, becausefinite element modeling can generate much larger training set, and thus finite element solvers can serve as an excellent teacher. This study also showed that neural network model performs better with small experimental dataset compared to decision tree regression model.     

An interface shear damage model of chromium coating/steel substrate under thermal erosion load

The Cr-plated coating inside a gun barrel can effectively improve the barrel's erosion resistance and thus increase the service life.However,due to the cyclic thermal load caused by high-temperature gun-powder,micro-element damage tends to occur within the Cr coating/steel substrate interface,leading to a gradual deterioration in macro-mechanical properties for the material in the related region.In order to mimic this cyclic thermal load and,thereby,study the thermal erosion behavior of the Cr coating on the barrel's inner wall,a laser emitter is utilized in the current study.With the help of in-situ tensile test and finite element simulation results,a shear stress distribution law of the Cr coating/steel substrate and a change law of the interface ultimate shear strength are identified.Studies have shown that the Cr coating/steel substrate interface's ultimate shear strength has a significant weakening effect due to increasing temperature.In this study,the interfacial ultimate shear strength decreases from 2.57 GPa(no erosion)to 1.02 GPa(laser power is 160 W).The data from this experiment is employed to establish a Cr coating/steel substrate interface shear damage model.And this model is used to predict the flaking process of Cr coating by finite element method.The simulation results show that the increase of coating crack spacing and coating thickness will increase the service life of gun barrel.     

坦克稳定器的神经滑模控制方法

针对坦克稳定器这一类非线性和不确定性的复杂控制对象,提出一种神经滑模控制方法。该方法将滑模控制与神经网络相结合,解决了控制系统跟踪性能和鲁棒性能之间的矛盾。系统中的滑模控制器保证了系统的快速跟踪性能;而神经网络具有很强的自学习功能,通过学习能够保证系统的稳定性,同时可对扰动和参数变化进行有效的抑制补偿,从而在不牺牲系统鲁棒性的同时达到削弱抖振的目的。从理论上证明了滑动平面的稳定性,并且通过仿真验证了该结果。仿真结果表明该设计方法优于经典设计,为实际设计提供了一种可行的新方法。     

基于有限元模型的机枪结构动态特性仿真

在对机枪进行结构设计时,了解机枪的固有频率和射击载荷作用下的动态响应特性对整个武器射击精度的影响十分必要。利用有限元分析软件对某机枪模型进行模态仿真分析,进而得出该武器对射击精度影响较大的部件。同时对机枪在射击载荷作用下的动力响应特性进行仿真计算,阐述了在机枪结构设计时频率匹配、射向一致的必要性,为机枪结构动力修改提供了理论依据。     

利用隔离模式实现千兆网卡双冗余功能

为保证网络系统各终端通信线路具有较高的抗毁性和可靠性,千兆网卡必须提供双冗余功能。介绍了GMⅡ接口,以及采用双通道方案,如何利用PHY芯片的隔离模式来实现千兆网卡的双冗余功能。给出了一个具体设计方案,仿真结果表明,该项设计成果可直接用于军用以太网的升级换代。     

基于接触的捞雷具夹紧爪接触面形状优化

介绍了在捞雷具夹紧爪设计过程中引入的基于接触的有限元形状优化设计方法.传统的机械设计方法仅考虑了零件的几何尺寸,而对其形状的设计却考虑不够,导致设计结果不理想.文中将基于接触的有限元形状优化方法应用于传统的机械设计过程.对捞雷具夹紧爪建立基于有限元分析的优化设计模型,使夹紧爪既能满足打捞鱼雷的要求,又得到了优化的形状.结构的特性与受力状况均得到改善.     

破片模拟弹侵彻钢板的有限元分析

根据破片模拟弹侵彻钢板的实验研究,采用MSC.Dytran对破片模拟弹侵彻钢板的侵彻过程、侵彻特性、钢板的破坏模式以及弹体的侵彻速度、靶板的侵彻阻力进行了有限元分析,并将分析结果与实验结果进行了比较.分析结果表明,破片模拟弹冲击钢装甲的侵彻过程可大致分为初始接触、弹体侵入、剪切冲塞和穿甲破坏4个阶段.有限元分析的破片模拟弹侵彻特性及靶板破坏模式与实验观测结果有较好的一致性,在靶板破口的正面,与弹体平面凸缘两端接触的部分,变形以剪切为主,而与切削面接触的部分,以挤压变形为主;靶板破口背面为剪切冲塞破坏;有限元模拟的弹体剩余速度与实验结果吻合较好,弹体侵彻过程中弹靶作用界面的速度和侵彻速度近似呈线性变化.有限元分析结果还表明,采用适当的模型,有限元法能较好地模拟破片模拟弹侵彻钢板的侵彻过程、侵彻特性以及钢板的破坏模式.     

塔架摆杆系统静动态特性研究

为研究航天发射塔架摆杆系统的静动态特性,利用Pro／E建立其三维实体模型,再将模型导入Abaqus中建立其有限元模型并对该塔架摆杆系统进行静、动态分析计算．通过静态分析,得到塔架关键部位的应力及位移值,对其安全性进行了校核;通过动态分析得到其固有频率及振型,与试验所得频率进行对比,验证有限元建模的正确性．