汽车电子制动系统的研究初探

介绍了汽车电子制动系统的发展背景及现状,分析了电子制动系统的原理、结构及开发的关键技术,初步提出了该系统原理样机模块化设计的思路,展望了其发展前景。     

双块式无砟轨道机械抬升方案设计及注浆加固效果研究

由路基沉降引起的无砟轨道上部结构过量下沉会严重影响高速铁路线路平顺性,进而降低线路运营安全性及行车舒适性,由于天窗期时间短,选择高效的抬升处置措施是当下高铁运营维护的重难点之一。基于双块式无砟轨道结构安全,通过ABAQUS内嵌的混凝土塑性损伤模型子程序建立无砟轨道有限元模型,进行无砟轨道机械抬升模拟,并与室内实验、现场作业等手段结合,提出一套适用于双块式无砟轨道过量沉降的机械抬升及注浆加固快速修复方法,现场验证其整治效果。结果表明：双块式无砟轨道在支承层底部机械抬升时,抬升点布置间距宜为1 m;抬升时需在千斤顶与路肩接触位置放置30 cm×30 cm的钢垫板,以保证千斤顶与路肩接触位置的地基承载力满足规范要求;单块轨道板单次抬升限值为4 mm,基于此,提出一种新的机械抬升方法：分步抬升法。室内实验表明：采用聚合物改性水泥砂浆作为注浆加固充填材料满足现场施工及长期服役要求;现场抬升及监测结果表明,抬升方案设计合理,线路平顺性恢复良好。研究成果可为类似工程提供参考。     

地铁十字换乘车站预留换乘节点的结构计算分析

十字换乘地铁车站预留换乘节点的结构受力复杂,采用有限元程序建立空间计算模型,分析预留换乘车站节点范围的梁、板、柱内力,找到应力集中部位,为设计提供理论依据,保证车站结构的安全。     

Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Approximate method for reliability assessment of complex phased mission systems

Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.     

基于半刚性基层的长寿命沥青混凝土路面有限元分析

利用三维有限元对采用半刚性基层的长寿命路面结构进行了分析计算。结果表明：对于采用半刚性基层的路面结构,如果想达到长寿命路面的要求,必须加厚沥青联结层厚度。     

突发大规模需求下铁路军事运输保障研究

以"5·12"汶川地震为背景,分析了突发大规模需求下铁路军事运输保障的特点及要求,提出了应急铁路军事运输保障的具体对策,如建立健全铁路军事运输指挥机制、制订输送保障运行计划等,对铁路军事运输部门提高突发大规模需求情况下的运输保障能力具有借鉴意义.     

Neumann边界条件下图像复原的TSVD算法

研究了在Neumann边界条件假设下,一类具有对称点扩散函数的模糊图像复原问题,将此类问题转化为不适定的二维离散卷积问题,基于离散卷积算子的性质,提出了图像复原的TSVD算法.实验验证了算法的有效性.     

基于ADAMS的搓管钻机动力学仿真分析

利用ADAMS软件建立SCG150搓管机的虚拟样机来分析其动力学特性,并对两种典型工况进行了动力学仿真计算.结果表明,各机构运动过程无干涉,机构运动轨迹符合要求,同时得到了运动副上的载荷变化曲线和接触力变化曲线等参数曲线,为以后进行搓管机有限元分析提供参考.     

基于计算机自动控制技术的多探头测深系统研制与改造

通过加装控制盒的方式,实现单探头测深仪与自动控制探头之间的流畅切换,将传统单探头测深仪改造成具有多探头功能的高效水下测量仪器系统,主要用于航道和码头基床等的水下扫测。利用该系统进行的码头基床扫测已经取得成功,可为同类测量设备的改造提供全新的思路。