中国和美国汽车保险比较——谈投保人对保险费率的影响

汽车保险是我国财产保险中份额最重的一项，随着中国汽车工业的迅猛发展，我国的汽车保险业也将迎来一个黄金期。但是与汽车王国美国相比较，我国汽车保险费率的厘定，更多地关注汽车本身，而忽略投保人这一主体因素，更多地关注人的因素，是加入WTO后的我国汽车保险人值得重视的一个话题。     

海底埋设管线平管起吊运动分析

基于有限元软件OrcaFlex,充分考虑不规则波浪、海流、管土相互作用以及船舶管线耦合运动,建立海底埋设管线平管起吊模型。参考DNV-RP-F110计算埋深管道受到的土壤阻力,依据DNV-RP-C205确定相关水动力系数。通过数值模拟研究分析管线在平管起吊过程中管道的运动响应以及吊绳张力的时间历程变化,为实际海底管线平管起吊提供一定理论参考。     

轿车与6岁儿童行人不同方位碰撞中下肢损伤分析

Euro NCAP发布的行人模型认证技术公告TB024的最新版本对6岁儿童行人模型认证提出了单独要求,旨在加强对儿童行人的保护.本研究应用符合Euro NCAP技术公告(TB024)规定并且具有详细解剖学结构的6岁儿童行人有限元模型,设置了4组不同方位行人-汽车碰撞仿真试验,以探究不同碰撞方位下的儿童下肢损伤机理.结果...     

基于物联网技术的轨道电路轨旁设备强电危害监测系统研究

轨道电路轨旁设备是铁路信号系统的重要组成部分,其安装位置的电磁环境较为复杂,且容易遭受雷电、工频、电力故障等引起的强电危害.本文研究了一种基于物联网技术的轨道电路轨旁设备强电危害监测系统.该系统主要由轨旁监测设备、云端设备和监测终端组成,具有良好的功耗控制和扩展性,实现了对现场强电危害水平的量化分析,并提供了较为直观的...     

Foldable container in empty container repositioning in intermodal transportation network of Belt and Road Initiative: strengths and limitations

In 2013, the concept of the ‘Silk Road Economic Belt and the 21st-Century Maritime Silk Road (Belt and Road)’ was initiated by the Chinese government, which involves Asian, European and African continents and their adjacent seas. Logistics plays a core role in such a large framework of economy and trade. In recent years, China, European Union, and Southeast Asia pay much attention to the design and development of the intermodal transportation network towards both economic and environmental efficiency. In this paper, we propose an empty container repositioning model in the intermodal transportation network of Belt and Road (B&R) Initiative by considering both standard and foldable containers. In this model, empty containers are repositioned from the inland of the original area, such as China, to other areas of B&R Initiative related countries and regions, such as European Union and Southeast Asia. We develop a mixed integer linear programming model to determine the optimal repositioning of empty containers via the intermodal transportation network. An Artificial Bee Colony algorithm is developed to solve large size problems in practice and numerical experiments are conducted to show the efficiency of our proposed algorithm. We provide managerial insights regarding the impact on the network performance of foldable containers transportation.     

内河船舶波浪载荷研究

利用内河波浪散布图和修订波浪谱对内河系列船舶进行了波浪载荷的计算预报,首次分析了内河船舶波浪载荷的规律和特点,并与俄罗斯内河登记局(RRR)和法国-德国船级社(B-G)的内河规范载荷对应的等效模数要求进行了比较分析。结合实船测试结果表明：波浪载荷变化规律与国外同类规范一致,预报波浪载荷水平与测试结果及国外同类规范要求相当。内河船舶波浪载荷预报应考虑航速和水深的影响,载荷预报结果可以作为制定内河波浪载荷公式的基础。     

负载下CFRP约束混凝土应力-应变关系分析型模型

为研究负载水平对FRP(纤维增强复合材料)约束混凝土柱峰值应力和峰值应变的影响,根据32个CFRP(碳纤维增强复合材料)约束混凝土圆柱构件和16个CFRP约束混凝土方柱构件的试验结果,引入负载影响因子,对J G Teng提出的CFRP约束混凝土柱峰值应力和峰值应变计算公式进行修正.在此基础上分析了CFRP约束混凝土柱构件轴向-侧向应变关系,以J G Teng本构模型为主动约束关系,建立了负载下CFRP约束混凝土应力-应变分析型模型.研究结果表明:模型理论曲线与试验曲线接近,修正后的峰值应力和峰值应变与试验结果较吻合,圆柱构件的误差约10%,方柱构件的误差在15%左右.      

船用推进变频调速装置保护技术研究

推进变频调速装置是船用电力推进系统关键组成部分,一旦损坏不能正常运行,将导致全船整个推进系统瘫痪,失去前进动力。基于推进变频调速装置在船用电力推进系统中的重要使命,本文针对船用变频调速装置可能存在的故障类型进行了分析,提出了相应故障类型的保护要求,给出了保护方法,并对关键保护技术进行了试验验证。试验结果满足设计要求,证明了保护方法的可实现与有效,提高了船用动力系统的可靠性,具有较高的理论研究价值和工程应用价值。     

战术数据指挥系统格式化消息标准研究

标准的格式化消息是实现战术数据指挥的基本支撑。战术数据链作为典型的战术数据指挥系统,其格式化消息标准的发展已进入了比较成熟的阶段,对我军战术级格式化消息标准的建设发展具有借鉴意义。文章从功能域和消息结构的角度,介绍了美军和北约常用战术数据链的V/R、M、J等7个系列的格式化消息标准,分析了美军数据链格式化消息标准的发展趋势,最后提出了我军格式化消息标准的发展建议。     

Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.