D9L推土机铸造铲刃,铲角的研制

在检测分析进口抗磨件基础上,采用空冷贝氏体铸钢制造了D9L推土机铲刃、铲角.实验室试验及1200h运行试验结果表明,国产件的性能和使用寿命均不低于进口产品.     

基于机会约束条件下舰艇航线动态规划模型研究

从舰艇出航隐蔽性要求出发，根据舰艇在海上不同航段被敌方探测发现的概率不同，建立基于机会约束条件下动态规划航线数学模型，实现从多条航线中选择满足不被探测发现置信水平下的最短航程航线，从而为指挥员迅速选择最优航线提供辅助决策。     

中国铁通部署网络智能化的思路探讨

在传统的PSTN网上开展全新业务时往往遇到网络制约问题，实施网络智能化，可以将所有呼叫上传到智能网处理，有可能集中管理用户数据，给用户带来全新的业务体验，运营管理更加便捷。从中国铁通的实际出发，探讨了部署网络智能化的思路。     

长纤维增强热塑性复合材料在汽车前端模块中的应用

世界汽车材料技术发展的主要方向是轻量化和环保化。汽车塑料相对密度低,以塑代钢制作外装件可减轻汽车自重,达到节能减排目的。文章介绍了长纤维增强热塑性复合材料(简称LFT)在国内外汽车行业的应用情况以及在汽车前端模块的应用状态。对LFT的力学性能等方面也做了比较详细的介绍,并就传统钣金焊接和LFT制作的前端模块进行了各个方面的对比分析,从中得出了LFT材料在该零件开发中的应用前景是令人期盼的。最后对前端模块应用复合材料的设计开发提供了一些建议。     

Cellpath: Fusion of cellular and traffic sensor data for route flow estimation via convex optimization

A new convex optimization framework is developed for the route flow estimation problem from the fusion of vehicle count and cellular network data. The issue of highly underdetermined link flow based methods in transportation networks is investigated, then solved using the proposed concept of cellpaths for cellular network data. With this data-driven approach, our proposed approach is versatile: it is compatible with other data sources, and it is model agnostic and thus compatible with user equilibrium, system-optimum, Stackelberg concepts, and other models. Using a dimensionality reduction scheme, we design a projected gradient algorithm suitable for the proposed route flow estimation problem. The algorithm solves a block isotonic regression problem in the projection step in linear time. The accuracy, computational efficiency, and versatility of the proposed approach are validated on the I-210 corridor near Los Angeles, where we achieve 90% route flow accuracy with 1033 traffic sensors and 1000 cellular towers covering a large network of highways and arterials with more than 20,000 links. In contrast to long-term land use planning applications, we demonstrate the first system to our knowledge that can produce route-level flow estimates suitable for short time horizon prediction and control applications in traffic management. Our system is open source and available for validation and extension.     

航空轨道线运营衔接规划模型

航空轨道线是连接机场陆侧与市区、为集散机场地面交通服务的轨道交通线,是充分发挥航空运输快捷的重要交通方式.为减少乘客利用航空轨道线进行换乘时的等待时间,建立了航空轨道线运营衔接规划模型,以乘客换乘时间最小为目标函数,考虑了轨道交通的容量限制,并对模型进行求解,得到其最佳发车时间间隔.     

高凝成品油管道蜡沉积速率的室内环管道实验分析

以 5号成品油为例 ,在理论推导的基础上建立了成品油管道蜡沉积的理论模型 ,确定了成品油管道蜡沉积速率与输油温度、输量和运行时间有关。并通过室内管流蜡沉积实验 ,分析了蜡沉积层速率与输油温度、输量和运行时间的关系 ,并逐一分析。运用Sigmaplot软件建立了实验室蜡沉积倾向与各影响因素之间的计算公式 ,为成品油管道的实际操作提供了一定的理论依据。     

面向实时交通信息提取的车辆轨迹数据挖掘

车辆行驶轨迹是驾驶人员主观意愿和道路客观约束条件综合作用的结果,从海量车辆轨迹中可以挖掘出道路的实时交通信息为智能交通服务．通过建立轨迹约束模型用以量化各约束因子,基于线性参照系统的数据预处理以加快检索速度和降低轨迹的不确定性,基于移动目标主体相似性和移动轨迹时空相似性的数据选取降低了数据库搜索次数提高发掘准确度,分别针对道路交叉口和一般路段进行数据挖掘,提取实时的道路交通信息．研究结果和实验结果表明,这个挖掘算法可以有效地提取道路实时路况信息．     

基于多点约束法的鼓式制动器有限元分析

为研究径向浮动蹄式制动器的性能特点,利用接触与多点约束相结合的方法,建立了结构有限元模型.经对比发现,该模型较传统模型能更准确的反映摩擦片的受力状态,且制动力矩仿真结果与试验数据有较好的一致性.利用该模型对制动器制动性能和摩擦片应力分布情况进行的仿真计算结果表明,径向浮动蹄式制动器有利于改善车辆制动跑偏现象和领蹄的受力状况,提高车辆的行车安全性和领蹄摩擦片的耐磨性:从蹄的受力均匀性有待进一步提高.     

Testing the Effects of Constraints on Climate Change–Friendly Behavior among Groups of Australian Residents

This study explores the relationship between Australian's attitudes toward climate change impacts on the Great Barrier Reef (GBR) and environmentally responsible behavior (ERB). We hypothesize that general attitudes toward climate change, subjective norms, and perceived behavioral control predict intended and reported behavior, and that attitude negatively influences constraints on adopting ERB. The moderating effect of residential condition (urban vs. rural contexts) was tested across these hypothesized relationships. We randomly selected 200 individuals from eight regions: Five within 50 km of the GBR Coastline and three from the Statistical Metropolitan Areas in Australia. We yielded 1,623 surveys by telephone interviews. Findings confirm our hypotheses and suggest the most important predictor of intentions is perceived behavioral control. The two groups of respondents (urban vs. rural) illustrate different relationships. This study offers insight on how managers of the GBR can effectively shape residents' behavioral tendencies that minimize human impacts on the natural environment.