智能功率模块在武器装备配电系统中的应用

分析了智能功率模块的结构及功能,针对现役武器装备配电系统存在的问题,设计以智能功率模块为基础,嵌入式微处理器为核心的装备新型配电系统,为装备配电系统数字化、自动化提供借鉴。     

某站场地基强夯振动影响范围研究

针对某站场地基采用6000kN·m夯击能强夯加固海漫滩填海区工程，现场测试了地表振动速度，在此基础上，分析研究了振动在水平方向的衰减规律、主振频率等，分析了拟建场地边立交桥在不同夯击能下的安全距离．结果表明：地表最大振动速度的衰减规律满足乘幂关系；强夯产生的振动的主振频率均处于10Hz以下；以地表振动速度作为判别标准，测得该场地在6000kN·m夯击能下对立交桥的安全距离为30m．     

透过CMIPPI-C-S2项目浅析灌溉项目中土方施工方法

该文通过一灌溉项目的执行,借助图片、图形,形象地论述了在土方施工过程中遇到的问题,以及如何有效地予以解决的方法。     

高真空击密法在京唐港3 000万t煤炭泊位工程吹填土软基处理中的应用

详细介绍了高真空击密法的原理及施工控制要点。通过工程实例,以浅层平板载荷及重型动力触探检测结果和沉降观测数据为依据,证明高真空击密处理软土地基有工期短、效果好等优点,在一定意义上将强夯法推广应用到了饱和软粘土。     

重大突发公共卫生事件下城市应急医疗物资优化调度研究

针对新型冠状病毒肺炎（新冠肺炎）疫情防控中应急医疗物资调度不尽合理、集配中心中转效率不够高等问题，重新设计了重大突发公共卫生事件下城市应急医疗物资调度与配送体系，并给出了应急医疗物资的分类方法。从医疗物资使用需求和库存估计可使用时间2个维度构建需求点紧急度指标，考虑突发公共卫生事件特征，以加权的需求满足率最大化为主要目标、车辆行驶距离最小化为次要目标，构建应急医疗物资动态分配模型，并通过算例验证了模型的有效性和可行性。结果表明：所构建的模型能够兼顾医疗物资分配的公平和效率，符合突发公共卫生事件中应急医疗物资供给和需求的动态变化特性，确保在物资短时间供给不足的情况下各需求点也能公平获取一定比例的物资；且模型仅要求各需求点上报各种品类医疗物资的使用人数和库存量，同时模型还给出数据缺失时的自动计算办法，可操作性更强；运用紧急度指标对需求满足率最大化目标进行校正，解决了各需求点因需求量差异对公平分配造成的影响，使得应急医疗物资分配更加合理。研究成果结合了新冠肺炎疫情防控中应急医疗物资调度的具体过程，使得分配模型更符合实际需要，可为城市应急医疗物资优化调度提供决策依据。     

地铁转向架构架动应力测试滤波频率的确定

文章结合上海地铁某转向架线路试验动应力测试结果,分析了典型信号的频率特性,对转向架动应力数据采用不同频率滤波,对滤波后的信号数据进行了比较,并结合采样定理提出了适用于地铁转向架荷载测试的滤波和采样频率。     

奇瑞A3轿车电子智能防盗系统解析

汽车防盗控制系统是现代汽车电控的一个主要组成系统,其功能是防止汽车被非法起动或开走,本文对奇瑞A3轿车的电子智能防盗系统主要原理、组成以及防盗系统使用与维修方法:等进行介绍。     

The dynamic response of rail support

This research reviews principles behind the dynamic response of rail supports, and introduces a method of analysis to find the maximum response in a realistic setting. Assuming a time-dependent, moving mass with massive wheels is essential, because the ratio of the moving mass to the rail mass is significant. However, the dynamic response of the track is not affected by dynamic properties of the train other than its unsprung mass, because the natural frequencies of the train suspension and track are significantly different. A numerical method is developed to model the dynamic response based on these principles, and applied to the Korean urban transit. The dynamic response includes multiple peaks with a large amplitude range, creating noise while the wheel passes the support. The dynamic impact factor (DIF) for the rail support depends mainly on the stiffness and damping of the rail support. The DIF for the rail moment is below the code value, whether this value is based on numerical analysis or on-site measurements. However, our numerical analysis results in a DIF for support settlement that is greater than the code value, if the damping is less than 3%.     

Mathematical modelling of train–turnout interaction

The paper proposes a mathematical model of train–turnout interaction in the mid-frequency range (0–500 Hz). The model accounts for the effects of rail profile variation along the track and of local variation of track flexibility. The proposed approach is able to represent the condition of one wheel being simultaneously in contact with more than one rail, allowing the accurate prediction of the effect of wheels being transferred from one rail to another when passing over the switch toe and the crossing nose. Comprehensive results of train–turnout interaction during the negotiation of the main and the branch lines are presented, including the effect of wear of wheel/rail profiles and presence of track misalignment. In the final part of the paper, comparisons are performed between the results of numerical simulations and line measurements performed on two different turnouts for urban railway lines, showing a good agreement between experimental and numerical results.     

Application of time-variant predictive control to modelling driver steering skill

The paper addresses the need for improved mathematical models of human steering control. A multiple-model structure for a driver's internal model of a nonlinear vehicle is proposed. The multiple-model structure potentially offers a straightforward way to represent a range of driver expertise. The internal model is combined with a model predictive steering controller. The controller generates a steering command through the minimisation of a cost function involving vehicle path error. A study of the controller performance during an aggressive, nonlinear steering manoeuvre is provided. Analysis of the controller performance reveals a reduction in the closed-loop controller bandwidth with increasing tyre saturation and fixed controller gains. A parameter study demonstrates that increasing the multiple-model density, increasing the weights on the path error, and increasing the controller knowledge range all improved the path following accuracy of the controller.