基于 CFD 技术某超大型复杂腔体流场数值研究

为研究复杂腔体内航行体在出筒过程中的燃气流场和腔体内部压力建立情况,采用计算流体力学方法和动网格技术,对航行体出筒过程进行数值模拟。将安置在腔体内的航行体作为运动实体,随着航行体的运动,相应的流场计算边界发生变化。计算过程根据当前时刻喷管内流场及燃气流场计算航行体受力情况,确定航行体在任意计算时刻的运动速度,并由相应的运动边界更新网格,计算新网格下的流场参数分布。计算结果与实验结果符合较好,说明文中方法能够有效地揭示航行体出筒过程中燃气流的动力特性,通过分析这些流动现象,为工程应用提供有意义的参考。     

基于潜艇模型尾流湍流强度和耗散率的CFD模拟

优良的隐身性能使得潜艇具有强大的突防能力,因此,控制潜艇尾流信号特征对于提高潜艇隐身性能意义重大,这些信号特征主要包括尾部湍流强度、湍动能、湍流耗散率等。同时,优良的艇型对于抑制尾流信号特征、提高潜艇快速性和隐身性也具有重要意义。基于此,采用RANS方法计算SUBOFF潜艇主艇体艇型及6种改良艇型的艇体粘性绕流,将CFD方法用于分析艇体半径、艇艏长度、艇艉长度等参数对潜艇尾流信号特征的影响。计算结果显示：在SUBOFF潜艇主艇体艇型及其6种改良艇型的尾流场中,增加艇体半径有利于抑制远尾流场湍流信号特征,在近场则不利;增加艇艏长度能降低近尾流场湍流信号特征,在远场影响较小;增加艇艉长度在近、远尾流场均有利于降低其信号特征。     

Modelling heavy vehicle car‐following behaviour in congested traffic conditions

This study develops a car‐following model in which heavy vehicle behaviour is predicted separately from passenger car. Heavy vehicles have different characteristics and manoeuvrability compared with passenger cars. These differences could create problems in freeway operations and safety under congested traffic conditions (level of service E and F) particularly when there is high proportion of heavy vehicles. With increasing numbers of heavy vehicles in the traffic stream, model estimates of the traffic flow could be degrades because existing car‐following models do not differentiate between these vehicles and passenger cars. This study highlighted some of the differences in car‐following behaviour of heavy vehicle and passenger drivers and developed a model considering heavy vehicles. In this model, the local linear model tree approach was used to incorporate human perceptual imperfections into a car‐following model. Three different real world data sets from a stretch of freeway in USA were used in this study. Two of them were used for the training and testing of the model, and one of them was used for evaluation purpose. The performance of the model was compared with a number of existing car‐following models. The results showed that the model, which considers the heavy vehicle type, could predict car‐following behaviour of drivers better than the existing models. Copyright © 2013 John Wiley & Sons, Ltd.     

The ‘Four Dimensions of Behaviour’ framework: a tool for characterising behaviours to help design better interventions

This paper sets out the rationale and structure of a tool for assisting policy-makers and practitioners to understand behavioural challenges and open up thinking on the design of effective ‘behaviour change’ interventions. The ‘Four Dimensions of Behaviour’ (4DB) framework is based on the theoretical and empirical research in a range of policy domains including transport and pro-environmental behaviour more generally. The 4DB framework characterises multifaceted behaviours along dimensions of actor, domain, durability and scope. Its application in workshop or structured settings opens up diverse and non-exclusive discussion on designing interventions to match salient behavioural characteristics. The use of the 4DB framework in the transport domain is demonstrated for travel behaviours of interest to policy-makers using examples of buying plug-in vehicles (PiVs), commuting by bicycle, eco-driving and making business trips by train.     

主动旋流管道除垢系统的三维数值模拟

为分析主动旋流管道除垢系统的清洗效果,建立了以高压高速空气为介质的内置螺旋凹槽管的环形流动模型,利用fluent软件对光滑管和内置螺旋凹槽管进行数值模拟,并利用网格无关性验证模型网格。模拟结果表明：内置螺旋凹槽管的环形流动呈复杂的三维螺旋流动,而光滑管则呈普通的直线流动。在相同的条件下,内置螺旋凹槽管的切向速度比较剧烈,而光滑管的切向速度几乎为零,内置螺旋凹槽管的径向速度也比光滑管的大。内置螺旋凹槽管的切向和轴向速度的增大,使边界层减弱,有利于增大管壁的冲刷力,从而增强清洗管道的效果。     

An enhanced safe distance car-following model

Gipps＇ model, a well-known safe distance car-following model, has a very strict restriction on the car-following behavior that the following vehicle has to maintain the exact safe distance to the leading vehicle to avoid rear crash. However, this restriction is not consistent with the real traffic condition. Due to that, an enhanced safe distance car-following model is proposed first, and then calibrated and evaluated using the field data. Furthermore, the simulation is conducted to analyze the characteristics of the new model. The results of evaluation and simulation illustrate that the proposed model has higher simulation accuracy than the original Gipps＇ model, and can reproduce the stable flow and shock wave phenomena that are very common in real traffic. Moreover, the simulation results also prove that the enhanced model can better stabilize the traffic flow than Gipps＇ model.     

基于灵敏度阻抗矩阵修正法的分层前推回代潮流算法

分布式电源（DG）接入配电网对潮流产生重要影响.本文分析了潮流计算中各种分布式电源模型及处理方法,引入灵敏度阻抗矩阵修正法更新PV节点的注入无功功率,结合辐射型配电网的特点,提出一种基于灵敏度阻抗矩阵修正法的分层前推回代潮流算法.该算法解决了前推回代潮流算法处理PV节点失效的问题,同时适用于含各类分布式电源的潮流计算.最后对含各种类型分布式电源的IEEE 33节点配电网进行潮流计算仿真,仿真结果验证了提出算法的有效性和快速性,并通过不同算例验证了算法的稳定性.     

基于近似熵的交通流序列趋势变化检测

交通流趋势变化特征分析是交通流预测的基础．为了提取交通流序列随时间推移所呈现出来的宏观变化规律,提出了一种用于检测交通流序列趋势变化的滑动移除近似熵方法．通过对交通流序列趋势规律进行研究,首先将其细分为上升趋势、平稳波动趋势、下降趋势,然后根据不同趋势变化的时间序列复杂程度不同,建立了滑动移除近似熵方法求解其滑动移除近似熵的值,并根据得到的时间序列提取交通流序列趋势变化．最后以北京市四环路某一断面交通流序列为例,用建立的模型对交通流序列趋势变化进行检测,并与滑动t检验方法结果对比．研究结果表明本文提出的方法能够对交通流序列趋势变化进行检测,且检测结果与实际交通流序列趋势变化比较吻合,研究结论可为短时交通流预测建模提供拳者依据．     

非均匀流场中螺旋桨水动力及噪声特性预报研究

根据螺旋桨的型值参数,在Fluent前处理器ICEM中建立流场的网格模型,采用计算流体力学（CFD）理论,结合雷诺平均纳维-斯托克斯（RANS）方程计算了螺旋桨的水动力特性.利用滑移网格技术对非均匀来流下的螺旋桨的水动力进行大涡模拟计算,并结合FW-H噪声模块对螺旋桨的无空泡噪声进行了数值预报.流场预报结果显示,流场的非均匀性导致螺旋桨水动力系数的脉动存在一定的周期性,且整个螺旋桨的水动力系数与单个桨叶之间存在一定的倍数关系;声场结果表明,低频离散噪声远大于高频噪声,噪声衰减速度随频率增大而减小,螺旋桨轴向和径向衰减速度随着距桨盘面中心的距离增大而减小,且轴向声压级低于径向两侧.     

智能交通信号控制调控策略探讨

以缓解交通拥堵为目的,按点控制、线控制、面控制逐次探讨智能交通信号控制调控策略。在点控制中主要考虑行人和非机动车的因素,分不同种情况,提出了具体的调控策略;在线控制中,建立了以实现绿波带控制为目的的调控策略,以平均车速和交叉口数量为参数,依次从高速公路、单一十字路口、若干个十字路口这三方面分析了车辆的通行能力,进一步探讨了绿波带上车辆的通行能力;在面控制中提出了最大流问题,用简化模型分析并证明该方法在调控区域各支路车流量大小中的适用性与合理性,该方法有助于缓解区域交通拥堵的情况。