平地上高速列车的风致安全特性

为研究高速列车在强侧风作用下安全行驶问题,基于空气动力学和多体系统动力学理论,建立了高速列车空气动力学模型和车辆系统动力学模型.应用该模型计算了不同风向角、不同风速和不同车速下作用于车体上的侧风气动载荷.根据高速列车整车试验规范,以脱轨系数、轮重减载率、轮轴横向力和轮轨垂向力为运行安全指标,分析了头车、中间车和尾车的运行安全性.研究表明:头车的安全性最差,且风向角为90°时,横风情况下最危险.随着车速的增大,最大安全风速急剧减小.当车速为200km/h时,最大安全风速为29.61 m/s;当车速为400 km/h时,最大安全风速为18.87m/s.     

轨道动力学模型与数值方法研究进展

随着列车速度的提高和轴重的增加,车辆与轨道之间的相互作用更加激烈.深入开展轮轨动态作用机理研究,对高速重载铁路安全平稳运行具有重要意义.文章回顾了轨道动力学模型的研究进展,重点介绍了五种轨道动力学模型及算法,即车辆-轨道-路基非线性耦合系统交叉迭代算法,新型车辆单元和轨道单元模型,列车轨道系统动态分析的移动单元法,移动...     

基于CFD的风帆助航技术效能分析

在模型试验的基础上,运用计算流体力学(CFD)方法,分析了基于机翼理论的风翼帆船利用风能辅助推进的特性.在仿真软件Fluent的仿真计算的基础上,当采用风帆助航技术时,对风帆产生的推力及由此引起船舶阻力变化进行了分析,从而对风帆助航技术的效能进行评估与分析,得出了远洋船舶利用清洁能源(风能)在经济性与环保性方面的可行性.并提出风帆助航技术应用于大型远洋船舶后续需要解决的问题.     

高地温尼格隧道综合降温体系研究

为解决高地温隧道因高温引发的热害问题,以红河州建水—元阳高速公路的尼格隧道为依托,基于能量平衡原则设计各降温措施的适用区间。采用CFD软件模拟进行对照分析,研究尼格隧道现场采用降温措施的效果,构建高地温隧道综合降温体系。结果表明： 1）围岩温度T<32 ℃时采用单通风管道,在围岩温度32 ℃≤T≤40 ℃时采用双通风管道,在围岩温度40 ℃<T≤48 ℃时增设局部雾炮车喷雾降温,在围岩温度T>48 ℃增设冰块降温,且在实际应用中温降可达到理论计算值。2）增大通风量对降温速率的影响最大,可提升37.7%;冰块降温次之,可提升11.6%;喷雾降温提升效果最差,仅提升3.2%;但是对于降温幅度,冰块降温>增大通风量>喷雾降温。3）增大通风量可以加快洞内空气的置换流通,宜作为基础降温措施;冰块降温通过融化吸热可实现大规模的温降,可用在热害等级较高的隧道;喷雾降温可实现局部区域的降温、除尘和加湿,可作为掌子面辅助降温措施实现对隧道的局部降温。     

浅吃水单柱式浮式风机动力学特性仿真研究

本文采用FAST软件对一种浅吃水单柱式浮式风机系统的动力学特性进行了研究.这一浮式风机适用于能源成本相对合理、水深为150 m的海域.本文首先讨论了这一浮式风机系统和OC3-Hywind系统在动力学特性方面的差异,然后研究了风尤其是湍流风对系统动力学特性的影响,最后对这一系统在多种载荷状况下的动力学行为进行了详尽的分析.研究结果表明:湍流风会在系统固有频率附近引起显著的激励;纵荡和纵摇运动取决于风轮推力,它们通过风轮推力和相对风速之间的联系建立起耦合关系;Spar平台的艏摇运动主要取决于平台横摇时由风轮推力引起的艏摇力矩.     

On the equivalent wheelbase of a three-axle vehicle

The steady-state handling properties of a rigid vehicle with a tandem rear axle configuration are developed. This work uses conventions resulting in a parsimonious characterisation of steady-state handling of such three-axle vehicles that is shown to be a simple extension of the well-known two-axle bicycle model. Specifically the concepts of understeer and wheelbase are developed for a three-axle vehicle, and shown to play the same role in characterising vehicle handling as they do in the well-known two-axle vehicle model. An equivalent wheelbase of a three-axle vehicle is expressed in terms of vehicle geometry and cornering stiffness of each axle. The model developed in this work is reconciled with previous models that make use of simplifying assumptions found in the literature.     

Design of safety-oriented control allocation strategies for overactuated electric vehicles

The new vehicle platforms for electric vehicles (EVs) that are becoming available are characterised by actuator redundancy, which makes it possible to jointly optimise different aspects of the vehicle motion. To do this, high-level control objectives are first specified and solved with appropriate control strategies. Then, the resulting virtual control action must be translated into actual actuator commands by a control allocation layer that takes care of computing the forces to be applied at the wheels. This step, in general, is quite demanding as far as computational complexity is considered. In this work, a safety-oriented approach to this problem is proposed. Specifically, a four-wheel steer EV with four in-wheel motors is considered, and the high-level motion controller is designed within a sliding mode framework with conditional integrators. For distributing the forces among the tyres, two control allocation approaches are investigated. The first, based on the extension of the cascading generalised inverse method, is computationally efficient but shows some limitations in dealing with unfeasible force values. To solve the problem, a second allocation algorithm is proposed, which relies on the linearisation of the tyre–road friction constraints. Extensive tests, carried out in the CarSim simulation environment, demonstrate the effectiveness of the proposed approach.     

Optimisation of lateral car dynamics taking into account parameter uncertainties

Simulation studies on an active all-wheel-steering car show that disturbance of vehicle parameters have high influence on lateral car dynamics. This motivates the need of robust design against such parameter uncertainties. A specific parametrisation is established combining deterministic, velocity-dependent steering control parameters with partly uncertain, velocity-independent vehicle parameters for simultaneous use in a numerical optimisation process. Model-based objectives are formulated and summarised in a multi-objective optimisation problem where especially the lateral steady-state behaviour is improved by an adaption strategy based on measurable uncertainties. The normally distributed uncertainties are generated by optimal Latin hypercube sampling and a response surface based strategy helps to cut down time consuming model evaluations which offers the possibility to use a genetic optimisation algorithm. Optimisation results are discussed in different criterion spaces and the achieved improvements confirm the validity of the proposed procedure.     

Fault classification method for the driving safety of electrified vehicles

A fault classification method is proposed which has been applied to an electric vehicle. Potential faults in the different subsystems that can affect the vehicle directional stability were collected in a failure mode and effect analysis. Similar driveline faults were grouped together if they resembled each other with respect to their influence on the vehicle dynamic behaviour. The faults were physically modelled in a simulation environment before they were induced in a detailed vehicle model under normal driving conditions. A special focus was placed on faults in the driveline of electric vehicles employing in-wheel motors of the permanent magnet type. Several failures caused by mechanical and other faults were analysed as well. The fault classification method consists of a controllability ranking developed according to the functional safety standard ISO 26262. The controllability of a fault was determined with three parameters covering the influence of the longitudinal, lateral and yaw motion of the vehicle. The simulation results were analysed and the faults were classified according to their controllability using the proposed method. It was shown that the controllability decreased specifically with increasing lateral acceleration and increasing speed. The results for the electric driveline faults show that this trend cannot be generalised for all the faults, as the controllability deteriorated for some faults during manoeuvres with low lateral acceleration and low speed. The proposed method is generic and can be applied to various other types of road vehicles and faults.     

Investigation of active torsion bar actuator configurations to reduce vehicle body roll

The increasing popularity of sport utility/light-duty vehicles has prompted the investigation of active roll management systems to reduce vehicle body roll. To minimize vehicle body roll and improve passenger comfort, one emerging solution is an active torsion bar control system. The validation of automotive safety systems requires analytical evaluation and laboratory testing prior to implementation on an actual vehicle. In this article, a computer simulation tool and accompanying hardware-in-the-loop test environment are presented for active torsion bar systems to study component configurations and performance limits. The numerical simulation illustrates that the hydraulic cylinder extension limits the active torsion system’s ability to provide body roll angle reduction under various driving conditions. To compare the control system’s time constant and body roll minimization capabilities for different hydraulic valve assemblies and equivalent hose lengths, an experimental test stand was created. For a typical hydraulic pressure and hose diameter, the equivalent hose length was not a key design variable that impacted the system response time. However, the servo-valve offered a quicker transient response and smoother steady-state behavior than the solenoid poppet actuators that may increase occupant safety and comfort.