Influence of polygonal wear of railway wheels on the wheel set axle stress

The coupled vehicle/track dynamic model with the flexible wheel set was developed to investigate the effects of polygonal wear on the dynamic stresses of the wheel set axle. In the model, the railway vehicle was modelled by the rigid multibody dynamics. The wheel set was established by the finite element method to analyse the high-frequency oscillation and dynamic stress of wheel set axle induced by the polygonal wear based on the modal stress recovery method. The slab track model was taken into account in which the rail was described by the Timoshenko beam and the three-dimensional solid finite element was employed to establish the concrete slab. Furthermore, the modal superposition method was adopted to calculate the dynamic response of the track. The wheel/rail normal forces and the tangent forces were, respectively, determined by the Hertz nonlinear contact theory and the Shen–Hedrick–Elkins model. Using the coupled vehicle/track dynamic model, the dynamic stresses of wheel set axle with consideration of the ideal polygonal wear and measured polygonal wear were investigated. The results show that the amplitude of wheel/rail normal forces and the dynamic stress of wheel set axle increase as the vehicle speeds rise. Moreover, the impact loads induced by the polygonal wear could excite the resonance of wheel set axle. In the resonance region, the amplitude of the dynamic stress for the wheel set axle would increase considerably comparing with the normal conditions.     

Efficient multiple model particle filtering for joint traffic state estimation and incident detection

This article proposes an efficient multiple model particle filter (EMMPF) to solve the problems of traffic state estimation and incident detection, which requires significantly less computation time compared to existing multiple model nonlinear filters. To incorporate the on ramps and off ramps on the highway, junction solvers for a traffic flow model with incident dynamics are developed. The effectiveness of the proposed EMMPF is assessed using a benchmark hybrid state estimation problem, and using synthetic traffic data generated by a micro-simulation software. Then, the traffic estimation framework is implemented using field data collected on Interstate 880 in California. The results show the EMMPF is capable of estimating the traffic state and detecting incidents and requires an order of magnitude less computation time compared to existing algorithms, especially when the hybrid system has a large number of rare models.     

凌津滩枢纽船闸下游近坝段航道整治研究

沅水梯级渠化最末一级凌津滩枢纽建成后,船闸下游引航道口门以下现行航道弯曲分汊、水浅流急、航道易淤积,船舶进出船闸困难,严重影响枢纽通航功能的发挥;在分析近坝河段航道碍航原因的基础上,通过水流和遥控自航船模、定床输沙物理模型试验,分别对左、右航线不同的工程整治方案进行研究优化;通过综合对比分析,废弃现行左线航道,选择右线开辟新航道,并针对存在的问题提出相关对策。     

主动声纳的低截获性数字仿真研究

在现代海战中,舰艇面临着越来越严峻的敌方侦察声纳的威胁.低截获是一项非常诱人的技术.低截获声纳通过选择合适的发射信号,在保持探测能力的同时,降低被敌方侦察声纳截获的概率.采用数字仿真的形式,分析浅海侦察声纳信号能量的变化,研究主动声纳的低截获性.仿真结果表明在高斯噪声背景下,主动声纳实现低截获性相当困难.     

汽车维修企业生产管理模式分析

介绍了汽车维修企业采用的两种生产管理模式，并作了较详缅比较，为汽车维修企业的管理者结合本企业的实际进行生产管理提供借鉴。     

Alcohol and traffic accidents in Japan

Alcohol induces many traffic accidents. Recently, the number of incidences of driving under the influence of alcohol (DUIA) has decreased in Japan; however, the number of drink-driving situations remains constant. Toughening the penalty has not been a particularly effective method for reducing the number of DUIAs. To reduce accidents resulting from DUIA, an approach other than sanctions may be necessary. Alcohol impairs attentional control for simple tasks and increases the propensity for risk-taking behavior; these are the major perils of DUIA. There are many risk factors for DUIA, including area, time, personal traits, the use of other substances, and alcohol use disorder. Each individual has a different risk factor for drink-driving, so it is important to provide more education for individuals and interventions for alcohol usage according to each risk factor.     

采用回退法、迭算法优化牵引计算周期制动工况

当列车运行在长大下坡道上,通常采用空气制动的周期制动调整速度。为了满足两次空气制动间充风时间和列车空走时间的要求,常常会造成列车的出坡速度与下一坡段的限制速度速差不合理。针对长大下坡道上空气制动工况优化问题,采用工况初选策略自动计算到换坡点,然后进行进出坡检验。若列车的出坡速度不合理则采用不同的策略回退到回退基点,舍掉回退基点后的结果,将其前的结果作为计算的当前解,以此产生一个更优的新解,不断重复该过程直到出坡速度合理时停止迭代。最后得到的工况组合是优化的。     

交通事故急救中心的选址问题研究

较系统地研究了交通事故急救中心选址问题,阐述了急救中心选址的影响因素及选址步骤。运用一般运筹学理论并结合实际情况,建立了急救中心选址模型,并将选址模型分为定量选址模型和定性选址模型。最后通过模拟决策案例,验证所提出的交通事故急救中心选址模型的有效性。     

Spectral entropy analysis of different alpha band rhythms in relation to hand motor imagery

The event-related desynchronization/synchronization(ERD/ERS) time courses of lower and upper alpha band rhythms during hand motor imagery are investigated respectively by Fourier Sectral Entropy (FSE) in this paper. By analyzing one group of BCI competition data, it was found that FSE within upper alpha band displays a pronounced increase and decrease over contralateral and ipsilaterai brain areas respectively at the onset of hand motor imagery, which is corresponding to the antagonistic ERD/ERS patterns in previous studies. Different from the upper alpha activity pattern, FSE within lower alpha band displays a consistent increase over both two hemispheres hand representative areas. The preliminary results show that FSE could disclose the different behaviors of the upper and lower alpha band rhythms so that a new idea with the complexity measure is provided to characterize functional dissociation of lower and upper frequency alpha rhythms in relation to hand motor imagery.     

新能源汽车电池管理方法综述

电池管理系统作为电动汽车的重要组成部分,其中准确估测荷电状态(SOC)和电池均衡管理是电池管理系统的核心功能,也是优化系统能量管理,提高动力电池的使用效率,延长电池使用寿命的关键,对电池的储能至关重要。详细介绍主要SOC的估测方法和电池均衡管理方法,并对其优劣性进行分析与阐述,通过文献综述与对比分析为电池组在使用时提出理论依据与维护措施,为未来的研究提供便捷研究方法。