编队中层区域防潜配置研究

编队中层防潜区域作为外层和内层的衔接部分,在防潜作战中的地位是极为重要的,中层警戒舰的配置决定了编队防潜安全.论文通过细致详实的数据分析和计算,科学计算出中层警戒舰配置阵位,从而印证了中层防潜区域是编队防潜作战中最适合阻敌接近的区域.     

信号交叉口行车风险场建立及车辆通行行为优化

随着汽车逐步向智能化、网联化发展,智能网联车辆逐步进入实际应用阶段。进行智能网联车辆的通行行为优化,对提升驾驶安全性和行车效率,避免事故发生和交通拥堵至关重要。车辆在通过交叉口时将受到很多环境及运动因素的影响,而现有的通行优化模型难以准确表达各类因素共同作用下的行驶环境。为此,基于风险场理论建立由环境场和运动场组成的信号交叉口行车风险场,表征信号交叉口中每点的实时行车风险程度,从而引导车辆驶向风险值低点,并提供下一步长的位移及速度指引,实现车辆的动态轨迹优化及速度控制。典型场景下的仿真结果表明：在优化模型的控制下单车的信号交叉口通行效率明显提升,其中直行方向车辆单车平均通行效率提升最高,平均提升6.35%,通过对交叉口面积内所有车辆进行通行行为优化,交叉口通行效率提升了9.3%,这表明所建模型可以准确表达交叉口行车环境并优化车辆通行行为。研究结论可应用于自动驾驶车辆的交叉口通行控制,并为网联环境下的行车环境表达和安全驾驶控制提供模型基础。     

珠三角集装箱运输格局及存在问题分析

1 珠江三角洲集装箱运输基本格局现状 珠江三角洲地区是我国外贸经济最发达、集装箱生成量最大的地区之一。改革开放以来,沿海主要港口不断建设集装箱泊位,经过20年的发展,珠江三角洲地区集装箱港口已基本形成了以香港为国际航运中心,深圳港、广州港为干线港,区内其他中小集装箱港口为喂给港的集装箱运输格局。这种格局随着广州港大力发展集装箱运输和南沙港区的建成投产,将日益巩固。     

基于可视化界面的汽车平顺性分析及悬架参数选择

建立了含人体-座椅系统的前后轮两个路面输入的双轴汽车模型,以某款九座商务车为研究对象．分析了系统频域内与平顺性相关的输出量。利用Visual C＋＋编程,通过可视化界面实现了悬架参数的自由选择和复杂的计算分析过程,并且可直接输入整车参数得出仿真曲线,对汽车的平顺性进行有效地评价。     

车用柴油车燃油路加热器

对冬季车用柴油车燃油路结蜡,造成发动机熄火进行分析,并结合我国气候特点,提出有效的解决方案。     

基于车辆加速度数据的互通立交匝道驾驶风险分析

为明确互通立交匝道的运行特性和驾驶风险,在重庆市南山立交和江南立交开展了超过30位被试者的小客车实车驾驶试验,通过Speedbox和Mobileye等车载高精度仪器采集了小客车在4条迂回式匝道上的连续运行数据,包括行驶速度、横向加速度、纵向加速度等,明确了迂回式匝道的车辆运行状态,然后运用表征横、纵向加速度关系的G-G...     

轿车与6岁儿童行人不同方位碰撞中下肢损伤分析

Euro NCAP发布的行人模型认证技术公告TB024的最新版本对6岁儿童行人模型认证提出了单独要求,旨在加强对儿童行人的保护.本研究应用符合Euro NCAP技术公告(TB024)规定并且具有详细解剖学结构的6岁儿童行人有限元模型,设置了4组不同方位行人-汽车碰撞仿真试验,以探究不同碰撞方位下的儿童下肢损伤机理.结果...     

Virtual prototype simulation on underwater hydraulic impingement shovel

The virtual prototype technology is applied to the design of the hydraulic impingement shovel, which is to increase the reliability of the design. The work principle of hydraulic impingement shovel is expatiated, and its dynamic equations are established. The 3D model of virtual prototype is built by PRO/E. Then the couple between the mechanical body of prototype and the hydraulic system is completed by virtue of ADAMS. Finally, the simulation is made on the virtual prototype. The simulation results show that the design of underwater hydraulic impingement shovel is rational. The virtual prototype technology could lay sound foundation of successful manufacturing of physical prototype for the first time and offer highly effective and feasible means for the design and production of underwater equipments.     

Experimental study on the width of the turbulent area around bridge pier

At present, the method of calculating the turbulent flow width around the bridge pier is not given in the "Standard for Inland River Navigation" (GB50139-2004) in China, and the bridge designer usually increases the bridge span in order to ensure the navigation safety, which increases both of the structural design difficulty and the project investments. Therefore, it is extremely essential to give a research on the turbulent flow width around the bridge pier. Through the experiments of the fixed bed and the mobile bed, the factors influencing the turbulent flow width around the bridge pier have been analyzed, such as the approaching flow speed, the water depth, the angles between the bridge pier and the flow direction, the sizes of bridge pier, the shapes of the bridge pier, and the scouring around the bridge pier, etc. Through applying the dimension analytic method to the measured data, the formula of calculating the turbulent flow width around the bridge pier is then inferred.     

Using a SVM to evaluate damage to vibration isolators in an elastic raft system

Predicting damage to vibration isolators in a raft experiencing heavy shock loadings from explosions is an important task when designing a raft system. It is also vital to be able to research the vulnerability of heavily shocked floating rafts unreliable, especially when the allowable values The conventional approach to prediction has been or ultimate values of vibration isolators of supposedly uniform standard in a raft actually have differing and uncertain values due to defective workmanship. A new model for predicting damage to vibration isolators in a shocked floating raft system is presented in this paper. It is based on a support vector machine（SVM）, which uses Artificial Intelligence to characterize complicated nonlinear mapping between the impacting environment and damage to the vibration isolators. The effectiveness of the new method for predicting damage was illustrated by numerical simulations, and shown to be effective when relevant parameters of the model were chosen reasonably. The effect determining parameters, including kernel function and penalty factors, has on prediction results is also discussed. It can be concluded that the SVM will probably become a valid tool to study damage or vulnerability in a shocked raft system.