浅路基沉降模型研究

被广泛应用于路基工程中的土工合成材料具有较好的抗拉性能,可以提高路基整体稳定性,减小路基整体位移变形。对经典加固土模型进行了回顾,旨在说明不同模型对应的实际组分。通过路基结构稳定性的量化分析,得到了材料抗拉性能及其他属性对路基沉降的影响。并通过经典模型与实际工程的参数化联系,解决实际工程问题。     

级配碎石重复加载动三轴试验仿真研究

为减少级配碎石重复加载动三轴试验量,采用Morh-Coulomb塑性模型,对级配碎石重复加载动三轴试验进行了有限元仿真,并对仿真结果用Pérez永久变形预估模型进行了拟合。结果表明:重复加载试验与其有限元仿真得到的永久变形发展规律相同,对仿真结果进行修正后,可用有限元仿真来代替部分室内重复加载试验。     

水泥混凝土路面粉质粘土路基永久变形及其预测

针对水泥混凝土路面与路基土永久变形之间的相互关系,从降低路面病害角度出发,分析水泥混凝土路面对路基性能的要求。并通过室内动三轴试验对水泥路面路基永久变形的形成机理和影响因素进行分析,基于NCHRP-37A模型,建立了相应的预估方法,以确定粉质粘土路基永久变形量。     

电动助力转向系统开发平台的仿真分析

本文提出了一种基于电动伺服缸加载的电动助力转向系统实验平台,并对该实验台进行数学建模,建立了其整体仿真模型,模拟分析了车辆在实际运行中轮胎力的变化以及EPS的动态特性响应。     

城市公交车与社会车辆混合流速度模型及交通运行状态分析

为了精确解析城市公交车和社会车辆混合运行的状态,在基本路段车速模型适用性分析的基础上,引入公交车流量、社会车辆流量、公交车比例等参数,建立了改进的混合机动车运行速度模型,分别选取单向二车道和单向三车道路段进行交通试验调查,采用Metrocount 5600气压管式车辆分型系统进行数据采集并用于改进模型的参数标定,并分别建立了2种车型的速度差模型,提出了路段混合车流3种不同交通运行状态的评价方法。研究结果表明：同等车流量情况下,不同公交车比例对社会车辆速度的影响表现为3个显著的变化区间;随着路段饱和度的增加,社会车辆和公交车之间的速度差呈现出从几乎不变、快速缩小到接近于零3个较为明显的运行状态;考虑车流组成中公交车比例的变化可以细化路段车流畅通状态、拥堵形成状态以及拥堵状态的判别。     

城市高架桥节段箱梁新型预制工艺研究及应用

通过对箱梁节段预制一般采用的长线法和短线法各自的特点进行介绍,结合工程实例,提出了将两种方法融合在一起的新方法,并阐述其工艺原理、施工流程、质量控制,以及采用该方法时模版系统的设计与实施。     

基于T—S模糊神经网络的边坡稳定性评价

边坡的稳定具有模糊性。基于模糊数学和神经网络理论,建立了边坡分定性分析的T—S模型,并结合具体工程进行了应用。研究表明：T—S模糊神经网络分析模型具有较好的适应性和应用性,对于边坡稳定性分析是一种较好的方法。     

基于GM(1,1)模型的膨胀土填料CBR指标快速确定方法

开挖膨胀土能否直接用作填料需跟踪开展CBR试验,而试件浸水需4 d将妨碍路堤填筑新技术的工程应用,有必要研究快速获取膨胀土CBR指标的方法。对百色膨胀土按改进CBR试验方法进行试验,设定不同时刻测试试件的变形和强度值,分析得到2指标的浸水时间效应及其变化规律;引入灰色理论中带1阶加权平均弱化缓冲算子的GM(1,1)模型,对测试结果做了指标值的预测和分析。结果表明,用浸水1 d试件的膨胀变形实测值可预测其浸水4 d的实际值,精度能满足工程要求且偏安全。据此,总结并提出膨胀土填料的改进CBR指标快速确定方法。     

Design of Nonlinear Controllers for Active Vehicle Suspensions Using Parameter-Varying Control Synthesis

Nonlinear suspension controllers have the potential to achieve superior performance compared to their linear counterparts. A nonlinear controller can focus on maximizing passenger comfort when the suspension deflection is small compared to its structural limit. As the deflection limit is approached, the controller can shift focus to prevent the suspension deflection from exceeding this limit. This results in superior ride quality over the range of road surfaces, as well as reduced wear of suspension components. This paper presents a novel approach to the design of such nonlinear controllers, based on linear parameter-varying control techniques. Parameter-dependent weighting functions are used to design active suspensions that stiffen as the suspension limits are reached. The controllers use only suspension deflection as a feedback signal. The proposed framework easily extends to the more general case where all the three main performance metrics, i.e., passenger comfort, suspension travel and road holding are considered, and to the design of road adaptive suspensions.     

An easy procedure to determine Magic Formula parameters: a comparative study between the starting value optimization technique and the IMMa optimization algorithm

In 2004, a new searching algorithm for Magic Formula tyre model parameters was presented. Now, a summary of the results, for pure and combined slip, that this algorithm is able to achieve is presented. The Magic Formula tyre model needs a set of parameters to describe the tyre properties. The determination of these parameters is dealt with in this article. A new method, called IMMa Optimization Algorithm (IOA), based on genetic techniques, is used to determine these parameters. Here, we show the computational cost that has been used to obtain the optimum parameters of every characteristic of the Magic Formula tyre model, called Delft Tyre 96. The main advantages of the method are its simplicity of implementation and its fast convergence to optimal solution, with no need of deep knowledge of the searching space. Hence, to start the search, it is not necessary to know a set of starting values of the Magic Formula parameters (null sensitivity to starting values). The search can be started with a randomly generated set of parameters between [0, 1]. Nowadays, MF-Tool, an application developed by TNO, uses an optimization technique to fit Magic Formula parameters from Matlab toolbox [van Oosten, J.J.M. and Bakker, E., 1993, {Determination of magic tyre model parameters}. Vehicle System Dynamics, 21, 19–29; van Oosten, J.J.M., Savi, C., Augustin, M., Bouhet, O., Sommer, J. and Colinot, J.P., 1999, {Time, tire, measurements, forces and moments, a new standard for steady state cornering tyre testing}. EAEC Conference, Barcelona, 30 June–2 July.]. We refer to that algorithm as the starting value optimization technique. The comparison between the optimization technique employed by TNO and the proposed IOA method is discussed in this article. In order to give a relative idea of adjustment accuracy, the sum-squared error and the mean-squared error, from the curves of the tyre model with the parameters optimized by both applications compared with test data are evaluated.