新疆公路三级区划中环境参数的提出

自然环境条件对公路工程的影响，主要体现在路线选取、路基强度和稳定性、路面稳定性和耐久性、公路主要自然病害(包括冻融、翻浆、雪害、风沙害、崩塌、滑坡和地震灾害等)、施工条件和养护运营环境等5个方面，分析自然条件和公路工程的关系，提出公路区划中地质地貌环境参数和水热状况环境参数。阐述了环境参数的提出过程，为新疆公路自然区划三级区的划分提供依据。     

高温高压条件下柴油的雾化蒸发特性

利用高速摄影和纹影法,在可变温度和压力的定容燃烧弹中,模拟发动机的实际运转工况,进行了不同喷油压力和背景压力条件下柴油的雾化蒸发特性试验研究,得出一系列热态喷雾图像。研究表明：喷油压力越高,雾注总的贯穿距离、锥角和投影面积越大,但液核的最大贯穿距离、锥角和投影面积变化不大,显著蒸发时刻不断提前,气相部分投影面积增大,混合均匀性改善;随着背景压力的升高,气、液相贯穿距离均下降,雾注总的喷雾锥角增大,雾注面积、液核面积减小。     

On-road visual vehicle tracking using Markov chain Monte Carlo particle filtering with metropolis sampling

In this study, a method for vehicle tracking through video analysis based on Markov chain Monte Carlo (MCMC) particle filtering with metropolis sampling is proposed. The method handles multiple targets with low computational requirements and is, therefore, ideally suited for advanced-driver assistance systems that involve real-time operation. The method exploits the removed perspective domain given by inverse perspective mapping (IPM) to define a fast and efficient likelihood model. Additionally, the method encompasses an interaction model using Markov Random Fields (MRF) that allows treatment of dependencies between the motions of targets. The proposed method is tested in highway sequences and compared to state-of-the-art methods for vehicle tracking, i.e., independent target tracking with Kalman filtering (KF) and joint tracking with particle filtering. The results showed fewer tracking failures using the proposed method.     

A self-powering system based on tire deformation during driving

Tire intelligence is vital in the improvement of the safety of vehicles because the tire supports the car body and is the contact point between the vehicle and the road. To create an intelligent tire, sensors must be installed to measure the behavior of the tire. However, it is difficult to apply a wired sensor system on the wheel of the tire. Hence, it is necessary to implement a self-powering, wireless system (a type of energy harvesting system) that can be mounted inside the tire. The purpose of this study is to convert the strain energy caused by deformation of the tire while driving into useful electrical energy to supply the sensor system. A flexible piezofiber is utilized for the energy conversion. The variation in strain, due to changes in speed, load, and the internal pressure of the tire, was measured along two axial directions to evaluate the amount of available strain energy. The amount of strain changed from 0.15% to 0.8%. To predict the amount of available energy from a tire, we perform an analysis of the relationship between the strain and the voltage. In addition, experiments for impedance matching between piezofiber and related circuits were conducted to optimize the external loads for transferring energy efficiently. Based on the procedure mentioned above, at least 0.58 mJ of electrical energy can be generated by using the laterally oriented strain (1500 to 2500 micro strain). The result of this study is expected to enhance the potential realization of self-generating wireless sensor systems for so-called ??intelligent?? tires.     

High-strain-rate fracture of adhesively bonded composite joints in DCB and TDCB specimens

Double-cantilever beam (DCB) and tapered double-cantilever beam (TDCB) specimens are the test configurations most commonly used to measure the fracture toughness of composites and adhesive joints. Strain rates of 1 to 18.47 m/s were applied to the test specimens via high-speed hydraulic test equipment. Because the fracture occurs through the adhesively bonded joints and the cracks grow rapidly, the crack length and beam displacement were recorded by a high-speed camera. An energy range from 0 to 10 J was often observed in the high-strain-rate fracture experiments for nonlinear plastic behavior of the dynamically loaded adhesively bonded DCB and TDCB specimens. The range of energy release rates (fracture energy) for TDCB specimen was 2 to 3 times higher than that of a DCB specimen for all high strain rates. The fracture energy of automotive adhesive joints can be estimated using the experimental results in this study for the fracture toughness (G_IC) under high rates of loading. The crack grows as the applied fracture energy exceeds the value of the critical energy release rate (G_IC) at the crack tip. The energy release rate was calculated using the fracture mechanics formula. The key fracture mechanics parameter, the fracture energy GIC, was ascertained as a function of the test rate and can be used to assess and model the overall joint performance.     

车辆移动监控系统并发调度机制的研究

在车辆移动监控系统运行过程中,监控中心将同时接收到从不同车载终端发送过来的大量信息,这些信息分别对应着不同的事件。监控中心如何针对这些事件,及时做出不同的响应和处理是极为重要的。在对监控中心并发处理的性能要求进行分析的基础上,提出了优先数事件队列算法来实现车辆监控中心的并发调度机制,并给出了算法实现。     

摩托车催化剂的研究探讨

根据摩托车工况排放曲线、过量空气系数λ等,来评价各种催化剂的性能,选择成本增加最少、排放控制效果最合适的催化剂方案。在选定过量空气系数λ的条件下,通过改变催化剂的体积、孔密度、贵金属及涂层的配方,对催化剂性能进行表征,用于催化剂方案的选择。     

基于逆向工程的车身差异化设计研究

通过对基于逆向工程的车身差异化设计的研究,提出了差异化设计的分类方法、逆向工程中的误差控制措施、并行设计理念及CAE分析手段在差异化设计中的运用。     

电力牵引系统用优化的传动机组

原边能源是电动汽车牵引系统中易造成故障的一个组件,力争对应用了成熟技术的发动机组进行优化.     

汽车低速碰撞模拟中的关键因素识别

为了在车辆开发过程中快速准确地识别各种边界条件变化对车辆低速碰撞性能的影响,选取3种不同结构特征的防撞梁结构,就模型简化、模型剪切、整备质量、重叠量、Y向撞击位置、角碰角度偏差和碰撞速度偏差7大因素进行分析研究,并识别出关键影响因素,为后续指导防撞梁开发奠定基础。