基于直接CAA与SEA的汽车风噪预测与控制

本文中对某一SUV风噪的预测与控制进行研究.首先基于风洞测试进行风噪声源特性与传递路径的分析,发现泄漏噪声主要发生在500 Hz以上中高频段,车底风噪主要集中于800 Hz以下中低频段,而在外形噪声中,由车顶和四门传递的风噪的贡献大于翼子板.然后基于气动噪声直接计算法和统计能量分析对外形噪声进行仿真,并结合风洞测试分析...     

并联混合动力汽车ECMS的时变等效因子提取算法的研究

为解决当前等效燃油消耗最小控制策略(ECMS)未能根据实际工况选取最优等效因子的问题,利用动态规划算法(DP)和ECMS各自的优点,构建并联混合动力汽车能量算法模型,即采用动态规划算法的等效燃油消耗最小控制策略(ECMSwDP),将等效因子作为全局最优算法的控制变量,通过对等效因子的离散全局优化,获得基于工况的最佳时变等效因子。在标准工况下对时变等效因子实时控制策略与全局最优控制策略DP的各项性能参数进行了数值仿真,验证了时变等效因子提取算法的有效性和等效因子初始值选取方法的可行性。     

针对儿童座椅拉拽失效的车身结构改进

在乘用车前期设计阶段,为让儿童保护的安全性能得到控制和优化,以某乘用车根据国家安全法规要求进行儿童座椅拉拽台架试验时,ISOFIX固定装置出现焊点从车身上拉脱失效为例,基于焊点热影响区损伤的焊点失效准则和钣金断裂失效准则,运用有限元分析对其进行虚拟评估和结构改进,有限元分析与试验结果吻合良好.改进结构通过了儿童座椅拉拽...     

汽车雨水管理的数值仿真与评价

汽车在雨天行驶时,落到侧窗表面的雨水会影响驾驶员的侧向视野和后视野,从而危及行车安全,故侧窗雨水管理对于整车安全非常重要。但迄今为止对于侧窗雨水管理问题尚未有一个统一而有效的评价方法。为此,本文中应用液膜模型和拉格朗日粒子模型对某款SUV进行了雨水仿真,基于人机工程学和粒子束轨迹技术提出了侧窗雨水管理的评价方法,并对仿真结果进行了相应的分析。     

基于文本挖掘的地铁施工安全风险事故致险因素分析

地铁工程项目是典型的高风险大型复杂项目,施工安全风险事故多发且引发因素众多。为明确施工过程中存在的致险因素,为安全风险事故的预控提供依据,选取2002—2015年国内151例地铁施工安全风险事故报告,借助R语言和文本挖掘的方法,分别对事故报告进行分词处理、特征项选择、向量空间模型构建、共现规律识别,并利用词云和网络结构图等方法可视化文本挖掘结果;从中发现地铁施工安全风险事故的6项关键致险因素和23项一般致险因素,并以关键致险因素为基础构建致险因素集合,为地铁施工安全风险事故的预控提供参考。     

南昌红谷沉管隧道短管节干坞内拉合对接施工技术

沉管隧道最终接头短管节在牵移和拉合过程中易发生偏移与倾斜,且GINA止水带压缩到设计值难度较大。以南昌红谷沉管隧道为例,从准备、牵移、拉合及后处理4个阶段介绍短管节对接拉合施工工艺。通过对底钢板打磨、涂抹黄油等,减小底部摩擦阻力。采用计算机控制液压同步提升系统、液压数据量测、钢端壳间距测量等措施,对短管节轴线及平面控制。实践表明:GINA止水带压缩量误差仅为+4 mm,短管节轴线及平面偏差均在可控范围内,短管节干坞内拉合对接操作可行、质量可靠。     

Suspension system state estimation using adaptive Kalman filtering based on road classification

This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels.     

Shockwave-based queue estimation approach for undersaturated and oversaturated signalized intersections using multi-source detection data

With the progress of information and sensing technologies, estimating vehicular queue length at signalized intersections becomes feasible and has attracted considerable attention. The existing studies provided a solid theoretical foundation for the estimation; however, the studies have some restrictions or limitations more or less. This paper presents a new methodology for estimating vehicular queue length at signalized intersections using multi-source detection data under both undersaturated and oversaturated conditions. The methodology applies the shockwave theory to model queue dynamics. Using data from probe vehicles and point detectors, analytical formulations for calculating the maximum and minimum (residual) queue lengths of each cycle are developed. Ground truth data were collected from numerical experiments conducted at two intersections in Shanghai, China, to verify the proposed methodology. It is found that the methodology has mean absolute percentage errors of 17.09% and 12.28%, respectively, for maximum queue length estimation in two tests, which are reasonably effective. However, the methodology is unsatisfactory in estimating the residual queue length. Other limitations of the proposed models and algorithms are also discussed in the paper.     

美国校车及其紧急逃生研究

从美国校车发展历程、校车管理以及校车安全标准3个方面概述美国校车。一旦发生紧急情况,紧急逃生对于保障学生安全举足轻重,而国内相关研究相对薄弱。从常见紧急情况、紧急逃生原则、紧急逃生演练等不同视角详细阐述美国校车事故的紧急逃生,对于改善中国校车安全现状具有积极意义。     

含镍化合物引起车门玻璃爆裂的案例分析

通过对车门玻璃爆裂的具体案例分析,验证了含镍化合物是造成玻璃爆裂的影响因素,并推荐相应的控制方法以及检测手段,同时强调数据统计分析对于缺陷识别和判定的重要指导意义。