Occupant injury risk analysis at NASS/CDS database

Injury information for vehicle occupants from the body regions of the head, thorax, abdomen, and upper and lower extremities, due to the restraints and interior parts of the vehicle, were extracted from the 2009 ~ 2012 NASS/CDS database. For those cases with high occurrence frequency, a detailed and comprehensive data analysis was performed to find the relationship between the accident, occupant, vehicle, and injury data. A numerical frontal impact sled model with the Hybrid III dummy and the GHBMC human body model was constructed to simulate and identify those injury risks according to NASS/CDS. Among the 5,734 injuries to the aforementioned body regions from frontal crashes are, listed by frequency of occurrence, the lower extremity (27.8 %), upper extremity (21.3 %), thorax (15.1 %), face (10.9 %), spine (8.7 %), head (7.3 %), and abdomen (6.9 %). The main injury sources to the head were the windshield, side structure, and steering wheel. For the thorax and abdomen they were the seat belt and steering wheel. For the lower extremity it was the instrument panel. The main injury patterns for the head were the concussion and the contusion. For the thorax they were vessel laceration and lung contusion. For the abdomen they were laceration and contusion of the organs. For the lower extremity they were bone fracture and ligament rupture. The steering wheel and seat positions were main factors affecting head and thorax injury risks. From the sled impact simulation, high injury risks of the head and thorax were assessed respectively at conditions of steering column tilt down and rear most seat position, which correlated well with the findings from the NASS/CDS data analysis.     

Integrated approach to an optimal automotive timing chain system design

Ensuring engine efficiency is a crucial issue for automotive manufacturers. Several manufacturers focus on reducing the time taken to develop and introduce brand new vehicles to the market. Thus, a synergic approach including various simulations is generally adopted to achieve a development schedule and to reduce the cost of physical tests. This study involved proposing a design process that is very useful in the preliminary development stage through effective support from simulations. This type of simulation-based design process is effective in developing timing chain drives; the use of this process, based on results from multiple trials, showed improvements in performance including low friction and vibration, improved durability, and cost-effective part design when compared to conventional processes. This study proposes an integrated approach to the preliminary design of an automotive timing chain system. The approach involves structural and dynamic analyses. The details of the design process are described by using the case of a virtual engine. This study conducted and summarized a dynamic and structural analysis as well as topological optimization to describe a process to obtain optimal results. The results of this study indicated the following improvements in overall performance factors: 12.1 % improvement in transmission error, 10.1 % reduction in chain tension, 46 % reduction in tensioner arm weight, and 11 % reduction in transversal displacement.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

土压平衡盾构施工中泡沫改良砾砂土的试验研究

为了解决土压平衡盾构在砾砂土地层掘进过程中,土体塑流性差、刀盘及螺旋输送机磨损严重和开挖面平衡不易保持等问题,通过自制泡沫发生器发泡,对砾砂土地层的泡沫改良技术进行室内试验研究,分析气液比、含水率和泡沫掺量对塑流性的影响和改良前后土样的渗透系数的变化规律,得出泡沫发生器气液比在30∶1~55∶1、含水率为5%~12.5%、泡沫掺量为20%~40%时,土体具有较好的塑流性,泡沫的"轴承效应"和泡沫剂中表面活性剂的亲水基团与水、砾砂土颗粒形成的氢键是塑流性提高的根本原因;使用泡沫剂改良砾砂土后,渗透系数大幅降低,掺泡沫后在280 min内渗透系数随时间变化较小,能达到10~(-5)cm/s,泡沫剂溶液中高分子化合物的联结和液桥力是土样具有堵水作用的原因。     

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。     

Modeling research on manufacturing execution system based on large-scale system cybernetics

A cybernetics model of manufacturing execution system(MES CM) was proposed and studied from the viewpoint of cybernetics.Combining with the features of manufacturing system, the MES CM was modeled by"generalized modeling"method that is discussed in large-scale system theory.The mathematical model of MES CM was constructed by the generalized operator model, and the main characteristics of MES CM were analyzed.     

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.