Elasto-plastic modeling of soft soil considering degradation of stiffness

The stiffness has a large influence on the behavior of soils. Its value is affected by some of the soils properties, such as the over consolidated ratio(OCR), the effective normal stress, and the plasticity index etc. In this paper, the numerical modeling of soft soils was carried out using an improved elasto-plastic S-clay1 model accounting for degradation of stiffness. The relation between the stiffness and the shear strain was established based on a large number of experimental data. The effects of strain-dependent stiffness of normally consolidated soils and over consolidated soils on the stress-strain behavior were studied through a comparison of the simulations with the experimental results of undrained triaxial compression tests. The results show that the behaviors of soils can be well predicted with the improved constitutive model, particularly before the peak stress.     

Decomposing and Cluster Refinement Design Method for Application-Specific Network-on-Chips

Along with higher and higher integration of intellectual properties (IPs) on a single chip, traditional bus-based system-on-chips (SoC) meets several design difficulties (such as low scalability, high power consumption, packet latency and clock tree problem). As a promising solution, network-on-chips (NoC) has been proposed and widely studied. In this work, a novel algorithm for NoC topology synthesis, which is decomposing and cluster refinement (DCR) algorithm, has been proposed to minimize the total power consumption of application-specific NoC. This algorithm is composed of two stages: decomposing with cluster generation, and cluster refinement. For partitioning and cluster generation, an initial low-power solution for NoC topology is generated. For cluster refinement, the clustering is optimized by performing floorplan to further reduce power consumption. Meanwhile, a good tradeoff between power consumption and CPU time can be achieved. Experimental results show that the proposed method outperforms the existing work.     

基于强化学习的平行航班动态定价

由于平行航班之间的竞争越来越激烈,为提高航空公司收益,对机票销售系统中的航班和旅客分别建模。将航班的动态定价问题建模成马尔可夫博弈过程,对混合类型旅客建立Logit选择模型。利用多Agent的强化学习算法对实例进行求解,结果表明WoLF-PHC算法收敛所需迭代的次数大于Nash-Q算法,但在计算速度上WoLF-PHC算法优势明显,且具有较强的适应能力。此外,航空机票的定价策略与其他易逝品有所不同,整体呈现上升趋势。而旅客环境参数的变化,也会影响定价策略。基于WoLF-PHC算法得到的定价策略对于收益提升具有积极作用。     

城市轨道交通车辆产品标准体系探索

分析了国内外城市轨道交通车辆产品标准体系的现状,重点介绍了城市轨道交通车辆产品标准体系的总体要求、结构搭建、产品标准的制修订,以及标准的实施和改进措施。     

诺伊达地铁车辆制动系统模块化工艺设计

介绍了印度诺伊达地铁车辆制动系统结构,采用模块化工艺设计方法对制动零部件进行设计,分别设计出风源模块、制动控制模块、辅助控制模块及管路模块,从而优化产品结构,简化组装,提高了工作效率,并且方便后续维护,提高产品竞争力。     

基于Ansys的矩形加筋平盖封头强度评定

将有限元方法与分析设计相结合,利用有限元分析软件Ansys对一种矩形加筋平盖封头进行强度评定。本文首先介绍瓶盖封头结构的改进。然后建立有限元模型,并进行应力求解。结果表明,此加筋平盖封头满足强度要求,与普通平盖封头相比,减小了平盖的厚度,降低了结构总重量,对平盖封头的结构改进设计具有一定指导作用。     

移动闭塞系统区间通过能力分析及参数计算

移动闭塞条件下“闭塞分区”呈现出“移动”和“长度变化”的特征,其区间通过能力的计算较固定闭塞系统更加复杂。本文建立了移动闭塞系统区间通过能力的数学模型,对区间通过能力与列车追踪运行速度、跟驰车距和列车性能等参数之间的相互关系进行了定性、定量分析,并就关鍵参数的计算方法进行了深入的讨论,对移动闭塞条件下的列车运行控制与行车组织有一定的参考价值。     

传感器智能芯片与阵列光纤对接平台运动顺序优化

从运动平台空间运动可能存在的720种运动顺序配置入手, 针对智能芯片与阵列光纤对接过程各运动单元产生的几何误差进行敏感性分析, 通过区分和归类各运动单元的敏感误差和不敏感误差, 将运动平台运动顺序配置数减少到90;考虑到运动平台各运动单元具有均匀分散、齐整可比的特性, 运用正交试验设计方法将敏感误差和不敏感误差确定为3个水平, 将6个运动单元确定为6个影响因素, 建立了对应的正交试验表, 得出了5条运动顺序配置的试验路径; 借助MATLAB仿真平台对5条运动顺序配置的试验路径进行了仿真试验, 获得了运动平台运动顺序最优配置; 在封装系统多自由度精密运动平台上进行了实测试验, 检验了仿真试验结果。试验结果表明: 传感器智能芯片与阵列光纤对接的运动平台在空间直角坐标系中最优的运动顺序为先沿横轴平动, 再绕横轴转动, 再绕纵轴转动, 最后沿纵轴平动; 该方法可优化光纤扫描雷达传感器智能芯片与阵列光纤对接的运动平台的空间运动顺序, 还可预测和规划其他多自由度运动平台的配准路径。      

STX4型驮背多功能运输车车体制造工艺

介绍了STX4型驮背多功能运输车的主要结构特点,分析了车体制造过程中的控制要点和难点,同时对制造难点提出了应对措施,有效保证了STX4型驮背多功能运输车的制造质量。