挫折情境下军人不良心理表现及应对策略

对在挫折情境下军人不良的心理状态,应分析不良的心理表现,并给出应对策略。在心理学的视角下,从正确认识挫折、寻求社会支持、提高适应能力和军人情商的途径四个方面,对挫折情境下军人不良心理表现提出四点启示。     

舰炮身管的模态分析与多目标优化

舰炮的炮口扰动是影响舰炮射击精度的重要因素。为了减少舰炮的炮口扰动,优化身管结构,建立了柔性身管的ABAQUS有限元模型,将有限元模型的模态计算值与模态试验值进行比较,发现建立的柔性身管有限元模型是合理可行的。提出了混沌量子粒子群算法与动力学联合优化的方法,进行身管和炮口的多目标优化。优化结果表明,优化后炮口中心的线速度、角速度和角位移与优化前相比显著减小,身管质量有所降低,结构更加合理,该优化方法有效可行,为下一步全炮总体优化设计提供了一定的借鉴。     

Stochastic production capacity: A bane or a boon for quick response supply chains?

The quick response (QR) system that can cope with demand volatility by shortening lead time has been well studied in the literature. Much of the existing literature assumes implicitly or explicitly that the manufacturers under QR can always meet the demand because the production capacity is always sufficient. However, when the order comes with a short lead time under QR, availability of the manufacturer's production capacity is not guaranteed. This motivates us to explore QR in supply chains with stochastic production capacity. Specifically, we study QR in a two-echelon supply chain with Bayesian demand information updating. We consider the situation where the manufacturer's production capacity under QR is uncertain. We first explore how stochastic production capacity affects supply chain decisions and QR implementation. We then incorporate the manufacturer's ability to expand capacity into the model. We explore how the manufacturer determines the optimal capacity expansion decision, and the value of such an ability to the supply chain and its agents. Finally, we extend the model to the two-stage two-ordering case and derive the optimal ordering policy by dynamic programming. We compare the single-ordering and two-ordering cases to generate additional managerial insights about how ordering flexibility affects QR when production capacity is stochastic. We also explore the transparent supply chain and find that our main results still hold.     

Study on dynamic response of multi-degree-of-freedom explosion vessel system under impact load

In order to study the dynamic response and calculate the axial dynamic coefficient of the monolayer cylindrical explosion vessel, the wall of vessel is simplified as a multi-degree-of-freedom (MDoF) undamped elastic foundation beam. Decoupling the coupled motion equation and using Duhamel's integrals, the solutions in generalized coordinates of the equations under exponentially decaying loads, square wave loads and triangular wave loads are calculated. These solutions are consistent in form with the solutions of single-degree-of-freedom (SDoF) undamped forced vibration simplified model. Based on the model, equivalent MDoF design method (also called MDoF dynamic coefficient method) of cylindrical explosion vessel is proposed. The traditional method can only predict the dynamic coefficient of torus portion around the explosion center, but this method can predict that of the vessel wall at any axial n dividing point position. It is verified that the prediction accuracy of this model is greatly improved compared with the SDoF model by comparing the results of this model with SDoF model and numerical simulation in different working conditions. However, the prediction accuracy decreases as the scaled distance decreases and approaches the end of the vessel, which is related to the accuracy of the empirical formula of the implosion load, the simplification of the explosion load direction, the boundary conditions, and the loading time difference.     

Dynamic modeling and parameter identification of a gun saddle ring

In this study, a theoretical nonlinear dynamic model was established for a saddle ring based on a dynamic force analysis of the launching process and the structure according to contact-impact theory. The ADAMS software was used to build a parameterized dynamic model of the saddle ring. A parameter identification method for the ring was proposed based on the particle swarm optimization algorithm. A loading test was designed and performed several times at different elevation angles. The response histories of the saddle ring with different loads were then obtained. The parameters of the saddle ring dynamic model were identified from statistics generated at a 50° elevation angle to verify the feasibility and accuracy of the proposed method. The actual loading history of the ring at a 70° elevation angle was taken as the model input. The response histories of the ring under these working conditions were obtained through a simulation. The simulation results agreed with the actual response. Thus, the effectiveness and applicability of the proposed dynamic model were verified, and it provides an effective method for modeling saddle rings.     

Optimal design of a novel cylindrical sandwich panel with double arrow auxetic core under air blast loading

The increasing threat of explosions on the battle field and the terrorist action requires the development of more effective blast resistance materials and structures. Curved structure can support the external loads effectively by virtue of their spatial curvature. In review of the excellent energy absorption property of auxetic structure, employing auxetic structure as core material in curved sandwich shows the potential to improve the protection performance. In this study, a novel cylindrical sandwich panel with double arrow auxetic (DAA) core was designed and the numerical model was built by ABAQUS. Due to the complexity of the structure, systematic parameter study and optimal design are conducted. Two cases of optimal design were considered, case1 focuses on reducing the deflection and mass of the structure, while case2 focuses on reducing the deflection and increasing the energy absorption per unit mass. Parameter study and optimal design were conducted based on Latin Hypercube Sampling (LHD) method, artificial neural networks (ANN) metamodel and the nondominated sorting genetic algorithm (NSGA-Ⅱ). The Pareto front was obtained and the cylindrical DAA structure performed much better than its equal solid panel in both blast resistance and energy absorption capacity. Optimization results can be used as a reference for different applications.     

基于双线性连接模型的超静定捆绑火箭助推器动力学响应分析

对于长径比较高的助推器来说,为了提高与芯级的连接可靠性,可采用超静定捆绑连接方式。这种捆绑连接方式增加了助推器动力学响应分析的难度。以超静定捆绑火箭助推器为研究对象,通过引入拉压双线性弹簧模拟捆绑连接装置,建立合理的动力学分析模型,对系统进行数值求解,获得径向冲击作用下助推器的动力学响应特性。通过与静定捆绑模型的对比,获得超静定捆绑助推器的广义位移、频谱和内力的响应,从而为工程应用提供一定的参考和理论支撑。     

平流层飞艇合成孔径雷达成像优化策略

平流层飞艇具有驻空高度高且时间久、覆盖范围广、使用效费比高等特点,在侦察监视等领域应用前景广阔。结合平流层飞艇平台特性,分析平流层飞艇合成孔径雷达(Synthetic Aperture Radar,SAR)与机载SAR的异同;针对平流层飞艇SAR的脉冲重复频率冗余及大振幅低频率运动误差,提出优化方案,并开展仿真分析验证。仿真结果表明所提优化运动补偿方法能够有效消除平流层飞艇运动误差影响。     

ADAMS的全地形车载火箭炮行进间发射动力学研究

利用多体动力学软件ADAMS、有限元分析软件ABAQUS建立了全地形车载火箭炮系统发射与行驶一体化动力学模型,基于路面功率谱密度函数和谐波叠加法,创建了全地形车野外行驶的三维随机土石路况模型,对战车行进间发射进行了动力学仿真。分析该型号车载火箭炮行进间发射的动力学特性,得到了战车及发射装置的动态响应情况及运动特性和车速对发射的影响规律。仿真结果表明,全地形车可以在土石路况低速行驶完成行进间发射任务。     

弹药生产响应能力综合评价指标权重组合方法

针对战时弹药需求的不确定性而造成对生产能力冲击的特点,为科学地确定综合评价指标权重,评价军工企业弹药生产响应能力,运用基于偏差平方和最小的综合评价指标粗糙集与网络分析法的权重组合算法,将定性与定量评价方法相结合,为客观评价企业弹药生产响应能力提供了科学的依据,对提高弹药生产决策的军事经济效益具有重要的意义。