A new model for temporal–spatial stochastic analysis of vehicle–track coupled systems

The vehicle–track coupled system has a random nature in the time–space domain. This paper proposes a computational model to analyse the temporal–spatial stochastic vibrations of vehicle–track systems, where the vehicle–track system is divided into a vehicle subsystem, track subsystem, and interfacial subsystem between the wheel and rail. In this model, the time-varying randomicity of dynamical parameters of the vehicle system, correlation, and randomness of the track structural parameters in the time–space joint dimensions, and randomness of the track random irregularities are considered. A probability dimension-reduction method was used to randomly combine different random variables. Furthermore, the probability density evolution method was applied to solve the delivery problem of probabilities between excitation inputs and response outputs. The temporal–spatial stochastic vibrations of the vehicle–track system with different coefficients of variation were studied, in which we assumed that the dynamic parameters obeyed the normal distribution, and the stochastic simulation method of the track random irregularities is probed into. The calculated results from this model are consistent with the actual measured results and physical conceptions. Thus, the temporal–spatial stochastic evolutionary mechanism can be explored, and the limits of dynamic indices can be formulated by using this developed model.     

超高压共轨系统轨压控制策略研究

为稳定控制超高压共轨系统中的共轨腔压力并缩短轨压控制算法的开发周期,利用AMESim/Simulink联合仿真技术建立了超高压共轨系统轨压控制仿真模型,采取前馈+PID控制算法设计了轨压控制策略,并针对轨压控制中的瞬态和稳态工况进行了仿真计算,最后在试验台架上开展了轨压跟随性测试。结果表明:所制定的前馈+PID控制算法能使轨压稳定在目标轨压附近,上下波动小于3 MPa,且轨压突变时瞬态响应时间小于0.5s,控制结果能够满足超高压共轨系统对精度和速度的需求。     

基于一维-三维耦合仿真的进气系统优化方法

提出了基于一维-三维耦合仿真的进气系统优化方法,此方法兼具CFD对进气系统三维流动特性准确描述与一维仿真对内燃机进气系统全局控制的优点。建立了进气歧管三维模型,采用GT-Power软件进行缸内工作过程模型仿真,根据试验数据标定仿真模型。通过一维-三维耦合仿真计算得到进气歧管各转速下的流动参数,以此作为CFD仿真的边界条件,优化进气歧管的结构参数。通过整机试验对进气歧管流动性能进行了验证。试验结果表明,该方法能够较好地指导进气歧管设计。     

柴油机减压-排气复合缓速匹配试验研究

通过对柴油机独立减压缓速、排气缓速性能进行研究,获取了二者在循环工作过程中的作用区域和性能提升的影响因素,并以此为基础,组合二者最优方案形成了复合缓速系统,进一步分析独立缓速性能改进方法在复合缓速中的适用性,通过试验验证了改进策略的有效性。研究结果表明,复合缓速是一种有效的辅助缓速装置,合理匹配后可在柴油机运转转速范围内获得与柴油机标定功率相等的制动功率,同时柴油机排温仍然可控制在限值范围内。     

公交通行能力约束的智能调度优化模型

公交通行能力是解决城市交通拥堵问题、促进城市公共交通系统高效运行的要素之一。介绍了公交通行能力的计算要素,并针对目前我国城市由于盲目调度造成的公交系统运营效率、服务水平下降的问题,提出将公交通行能力作为约束条件对公交调度进行优化。鉴于公交企业制订调度方案时需兼顾公交服务水平和企业效益,将智能调度的目标确定为候车时间满意度、候车空间满意度、车内舒适满意度和企业满意度加权平均值最大,并给出了相应的计算方法。最后讨论了利用遗传算法对模型进行求解的过程。     

混凝土箱梁温度作用的参数分析

根据非稳态导热偏微分方程,施加合适的边界条件,用有限元法进行了混凝土箱梁温度场的参数分析,并确定了影响混凝土箱梁温度场的主要因素。研究表明,混凝土箱梁的截面尺寸、所用混凝土的热物理性质以及气温对混凝土箱梁的竖向最大温度的影响均不大,对混凝土箱梁竖向温度梯度影响最大的是太阳辐射强度。     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.