温度变化对粗粒硫酸盐渍土路基变形影响分析

粗粒硫酸盐渍土路基在环境温度变化下易出现盐胀、沉陷等变形问题，其对路基正常使用造成的影响不容忽视。针对此问题，依托伊朗德黑兰-库姆-伊斯法罕高速铁路项目，在施工现场选取试验段，开展路基温度、水分的长期监测，分析路基温度和含水率随时间的变化规律。在此基础上，利用自主设计的温度变化试验装置，采用现场路基填料，开展室内温度变化循环试验，对粗粒硫酸盐渍土的变形特性进行研究。结果表明：监测期间，试验段路基温度的敏感深度为0.22 m，深度为1.0 m以内的路基含水率变化较大；在9个周期的试验过程中，试样深度在20 cm范围内的温度和含水率随时间的变化更为显著，且随着试验温度的变化，试样温度的变化存在一定的滞后性；含盐量为1.5%的土样在第1，2次温度变化循环试验中表现为盐-冻胀变形，其最大盐-冻胀变形量为0.128 mm，而含盐量为3%的土样在前6次循环试验中均表现为盐-冻胀变形，其最大盐-冻胀变形量为0.232 mm；由于受到温度、冰盐相变、含盐量、土颗粒组成、试验周期等多重因素的影响，9个试验周期后，不同含盐量的试样最终均呈现沉陷变形，其中，含盐量为1.5%试样的最终沉陷变形量为0.585 mm，是含盐量为3%试样最终沉陷变形的5.42倍。该研究结果可为相关工程提供一定的技术参考和借鉴。     

基于改进IDM-GARCH模型的速度波动不确定性研究（双语出版）

为定量分析跟驰行为中由驾驶人感知不确定性产生的速度波动不确定性，基于改进IDM-GARCH模型研究了后车速度波动存在的异方差性。首先，提出在经典智能驾驶模型中加入速度差刺激项和非对称系数，以增强速度波动方程残差项的实际意义。在此基础上，为度量速度波动的不确定性引入异方差的思想，并验证速度波动方程残差项的异方差性，最后运用广义自回归条件异方差模型对其异方差性建模。实证分析中，采用了美国联邦公路管理局主导下的下一代仿真项目中真实有效的跟驰数据。研究结果表明：改进的IDM模型能有效地拟合实际跟驰行为中后车的速度变化，且较经典IDM模型在精度上有了很大提高；同时，GARCH类模型估计的条件方差也能准确反映后车速度波动的趋势和幅度，以及不同驾驶人驾驶行为的差异。     

西安地铁隧道中隔墙加台阶法施工诱发的邻近桥桩变形及其控制措施

采用FLAC3D软件预测了地铁中隔墙加台阶法施工诱发的邻近桥桩变形规律,结果表明:桥桩最大水平变形和倾斜率均超出变形允许值,必须对既有桥桩采取加固措施才能确保其在地铁施工期间的安全使用。提出了采用袖阀管注浆技术控制桥桩变形的措施,并制定了现场监测方案。实测结果表明,加固措施能够确保桥桩变形在允许范围内,证明了提出的变形控制措施合理有效。     

城市轨道交通站点客流不确定性研究

为提高城市轨道交通站点客流预测的可靠性,在分析客流不确定性影响因素的基础上,基于ARIMA-GARCH模型,依据南京地铁珠江路站点客流数据对客流不确定性进行建模和预测,并从预测置信区间和无效覆盖率两方面与传统的时间序列进行对比分析,研究结果表明,ARIMA-GARCH能够较好地拟合客流波动情况,为城市轨道交通运营与管理提供理论依据。     

基于熵权-物元模型的轨道交通建设时序研究

结合轨道交通建设特点,基于物元可拓数学方法、熵权理论和关联度函数,建立轨道交通建设时序决策的熵权物元可拓模型。该方法首先结合熵权理论,根据指标差异度对评价指标进行客观赋权;其次通过客观标准对评价指标的经典域进行区间界定,利用综合关联度将多指标的评价模型转化为单目标决策;然后依据定量测算的加权综合关联度值综合判定建设时序,最后以成都市轨道交通线网进行实例分析。结果表明:该决策算法所确定的结果与实际建设时序一致,且该算法可以极大拓展研究范围,表征更多分异信息,有效支撑城市轨道交通线网建设时序的综合决策。     

城市管道对于软土地基沥青路面影响分析

该文针对软土地区城市道路地下管道对于沥青路面的不利影响进行分析,采用有限元方法分析了管道周边和上部土基的模量对于沥青面层内部剪应力的影响,并与容许剪切强度进行了对比.提出必须采取合理措施增加管道周边的土基强度,从而有效地避免沥青路面的剪切破坏.     

基于MATLAB的抗滑桩锚固段内力程序化与可视化计算研究

基于Matlab数学软件，对采用“K”法计算的抗滑桩锚固段内力和变形计算过程进行了程序化设计，使得充分保证抗滑桩设计计算准确性的前提下，大大提高了计算效率，且实现了计算结果的可视化，并把此研究成果应用于常（德）至吉（首）高速公路滑坡处治中抗滑桩的设计计算。研究成果对今后滑坡地质灾害的抢险，保证抗滑桩设计的经济性与合理性，均具有及其重要的意义。     

Parameters optimisation of a vehicle suspension system using a particle swarm optimisation algorithm

The purpose of this paper is to determine the lumped suspension parameters that minimise a multi-objective function in a vehicle model under different standard PSD road profiles. This optimisation tries to meet the rms vertical acceleration weighted limits for human sensitivity curves from ISO 2631 [ISO-2631: guide for evaluation of human exposure to whole-body vibration. Europe; 1997] at the driver's seat, the road holding capability and the suspension working space. The vehicle is modelled in the frequency domain using eight degrees of freedom under a random road profile. The particle swarm optimisation and sequential quadratic programming algorithms are used to obtain the suspension optimal parameters in different road profile and vehicle velocity conditions. A sensitivity analysis is performed using the obtained results and, in Class G road profile, the seat damping has the major influence on the minimisation of the multi-objective function. The influence of vehicle parameters in vibration attenuation is analysed and it is concluded that the front suspension stiffness should be less stiff than the rear ones when the driver's seat relative position is located forward the centre of gravity of the car body. Graphs and tables for the behaviour of suspension parameters related to road classes, used algorithms and velocities are presented to illustrate the results. In Class A road profile it was possible to find optimal parameters within the boundaries of the design variables that resulted in acceptable values for the comfort, road holding and suspension working space.     

温州状元岙化工码头工程潮流泥沙数模研究

采用水动力泥沙条件、底床冲淤演变分析及二维潮流泥沙数值模拟手段,对拟建的温州港状元岙港区化工码头工程方案进行了研究。研究结果表明:(1)工程海区潮汐属于正规半日潮类型,为强潮海区;(2)工程海区潮流性质属于不规则半日浅海潮流,潮流运动呈往复流形式;(3)工程海域深槽多年来在波浪潮流作用下一直处于稳定状态;(4)规划的化工码头走向与涨落潮流走向基本一致;(5)规划的化工码头实施后工程附近海区的涨落潮流速呈增加趋势,码头前沿会略有冲刷;(6)化工码头建设对锚地流场没有影响;(7)化工码头工程方案是合理可行的。     

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.