城市环保型混凝土工厂设计应用研究

分析了混凝土工厂的基本构造及工作原理,阐述了环保型混凝土工厂设计的环境标准,就混凝土工厂的粉尘和噪音源进行了论述.结合实践,着重对混凝土工厂的粉尘和噪音控制方法进行了详实的分析研究.     

改变DRP控制逻辑以解决ABS阀体噪声

针对某ABS开发项目中车辆紧急制动后所产生的噪声问题进行了分析,得知是DRP控制逻辑由激活状态转变成逐渐加压状态时会产生ABS阀体噪声。修改原DRP控制逻辑后进行了试验验证。结果表明,采用修改后的DRP控制逻辑,当车辆减速度小于门槛值时,DRP将会从激活状态直接转变成关闭状态,而不再经过逐渐加压状态,使噪声问题得以解决。     

Study on the derailment behaviour of a railway wheelset with solid axles in a railway turnout

ABSTRACT

Dynamic wheel–rail interaction in railway turnouts is more complicated than on ordinary track. In order to evaluate the derailment behaviour of railway wheelsets in railway turnouts, this paper presents a study of dynamic wheel–rail interaction during a wheel flange climbs on the turnout rails, by applying the elasticity positioning wheelset model. A numerical model is established based on a coupled finite element method and multi-body dynamics, and applied to study the derailment behaviour of a railway wheelset in both the facing and trailing directions in a railway turnout, as well as dynamic wheel–turnout rail interaction during the wheel flange climbing on the turnout rails. The influence of the wheel–rail attack angle and the friction coefficient on the dynamic derailment behaviour is investigated through the proposed model. The results show that the derailment safety for a wheelset passing the railway turnout in facing direction is significantly lower than that for the trailing direction and the ordinary track. The possibility of derailment for the wheelset passing the railway turnout in facing and trailing directions at positive wheel–rail attack angles will increase with an increase in the attack angles, and the possibility of derailment can be reduced by decreasing the friction coefficient.     

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...     

汽车进气系统轰鸣声传递路径分析

为了消除进气系统带来的车内噪声问题,运用传递路径分析方法,源-路径-响应的分析思路,总结了进气系统噪声问题的传递路径,结合某轿车进气系统轰鸣声问题的改进,发现结构传递路径和空气传递路径对该进气轰鸣声均有重要贡献,通过降低空气滤清器安装点橡胶软垫的硬度和加强安装点车身侧支架,可有效降低车内轰鸣声.     

公路环境影响评价中几个声环境问题的探讨

对公路建设项目环境影响评价中存在的几个声环境问题进行了探讨：（1）对公路交通噪声预测中关于车型的分类进行了分析讨论;（2）环境噪声预测时,现状噪声的叠加应有选择;（3）对噪声影响的居民区应做一个全线的分析;（4）对噪声监测点的选择及监测进行了分析;（5）对公路两侧执行的噪声标准进行了分析。根据分析提出加强噪声预测精度的建议。     

Dynamics of the railway track and the underlying soil: the boundary-element solution, theoretical results and their experimental verification

A combined finite-element boundary-element method is presented in detail to calculate the dynamic interaction of the railway track and the underlying soil. A number of results are shown for ballasted and slab track, demonstrating the influence of the stiffness of the soil and the rail pads on the vertical compliance of the track. The compliance of the track is combined with a simple model of the vehicle giving the transfer function of vehicle-track interaction. An experimental verification of the theoretical results is achieved by harmonic and impulse excitation with and without static (train-) load and by combined measurements of train-track-soil interaction. A clear vehicle-track resonance is found for the slab track with elastic rail pads and for higher frequencies at highspeed traffic, the dynamic axle loads due to sleeper passage are reduced.     

结构-电磁激励下某电驱总成噪声控制

针对某电动汽车电驱总成的噪声问题,依据电驱总成车内噪声产生机理,进行整车状态声振特性测试,运用不同工况组合下的频谱特征和阶次特征等分析方法,识别出该电驱总成噪声问题为结构共振和电磁激励所致。针对结构共振问题,考虑电驱总成结构耦合特性、电机材料复杂多样性和线圈绕组质量,建立电驱总成有限元分析模型,求解出电驱总成的模态和振动响应,并通过敲击法模态试验得到模态参数进而对有限元模型进行验证,在此基础上以模态应变能为依据对电驱总成结构的局部刚度进行优化,提升结构共振频率,降低共振风险。针对电磁激励问题,以电驱总成中的永磁同步电机为研究对象,建立电磁仿真分析模型,以影响磁通密度的转子槽口的槽形、槽宽、槽深和槽间角度4个因素建立正交试验设计表,通过极差值得到各因素对齿槽转矩和输出转矩的影响水平,最后以降低齿槽转矩、加工工艺简单和对输出转矩影响小为目标,运用16组具有代表性的电磁方案,完成256个参数组合的寻优,并对优化方案进行了数值仿真计算。研究结果表明：优化方案的改善效果较显著;研究可为电动汽车车内噪声改善提供试验技术支持,并为电驱总成的结构共振噪声和电磁噪声控制提供方法参考。     

郑万高铁大断面岩质隧道掌子面稳定性评价及控制措施

为建立施工阶段大断面隧道掌子面稳定性评价方法,结合郑万高铁大型机械化特点,对郑万高铁湖北段隧道掌子面地质信息进行统计分析,将掌子面稳定性分为A整体稳定、B局部掉块、C上半断面不稳定和D全断面不稳定4个级别,并建立以岩石坚硬程度、岩体完整程度和地下水状态3个指标的掌子面稳定性定性分级方法,得出围岩级别与掌子面稳定性的对应关系。研究结果表明： 1）岩石坚硬程度、岩体完整程度和地下水状态是围岩分级指标中使用率最高的3个指标; 2）Ⅰ、Ⅱ、Ⅲ级围岩的掌子面稳定性为A级。     

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.