纤维增强复合材料拉伸破坏过程的Monte-Carlo模拟

基于剪切滞后模型,采用影响函数叠加方法,得到复合材料在多纤维断裂下的应力场,包含了基体和界面塑性变形的影响.考虑纤维强度的统计特性,结合Monte-Carlo方法模拟丫复合材料在拉伸载荷作用下的累计破坏过程.结果表明:复合材料拉伸强度的尺寸效应与纤维强度分布的统计性质以及微观损伤诱发的应力重分配有关.文中的研究为进一步发展基于破坏机理分析的复合材料在热/机械载荷作用下的疲劳寿命预测理论奠定了基础.     

自升式钻井平台方案评价指标体系及评价方法研究(英文)

本文对白升式钻井平台的方案评价指标体系和评价方法进行了研究,提出了一套适用于自升式钻井平台的方案评价指标体系,并采用改进的灰关联分析法进行平台方案的优选,初步分析和计算实例表明,该评价指标体系和评价方法是适用和可靠的.通过对联分析方法进行改进,建立了适用于自升式钻井平台方案选优的灰关联多目标综合评价模型,该模型在灰关联分析的基础上引进层次分析法计算各指标的权重值,既在一定程度上考虑了设计方案各指标间的关联性,反应了事物的客观本质,又能体现船东的主观偏好和设计者的设计需要.同时该方案评价指标体系和评价方法具有拓展性,可应用于其它类型的移动式平台,作为方案选择时的参考依据.     

长撑杆双颚板绳索抓斗自重的确定及其在抓斗各部件上的分配比例

主要阐述抓斗的主要参数之一——抓斗自重及其在抓斗各部件上的分配比例对抓斗性能的影响;抓斗抓取量与抓斗自重、散货物理-力学性质之间的关系,提出了如何合理确定抓斗自重及其在抓斗部件上的分配比例的方法。     

AR自编码扩频通信系统的研究

在自编码扩频通信原理的基础上,介绍了利用自回归(Auto-Regressive,AR)滤波的方法从信源序列中提取扩频码的AR自编码扩频系统,并对该系统的误码性能和多址通信能力进行了理论分析和仿真.结果表明,AR自编码扩频系统改善了普通自编码扩频系统的误码性能,提高了系统的多址能力,为自编码扩频通信的实际应用提供了可选的方案.     

大厦新增空调工程设计方案

户式中央空调适用于小型办公楼的需求。空调方案一般采用集中冷源 新风机组 房间风机盘管、传统的家用空调系统、家用小型中央空调3种方式。通过比较可变冷媒直接蒸发式一拖多系统(如VRV系统)、冷水系统、全空气系统户式机组3种方式,考虑到大厦现有实际情况,本次大厦新增空调工程设计方案采用了水系统形式的户式空调机组,并对该方法的经济效益进行了分析。     

一种新型级联多电平逆变器的研究

针对目前级联多电平逆变器的主要缺点,即需要大量的独立直流源,提出了一种新型级联多电平逆变器,该逆变器通过提高直流源的利用率达到减少直流源数的目的.新型逆变器不仅结构简单,而且控制算法也简单有效.仿真结果证实了这种新型级联逆变器是可行的.     

原点西路泾河大桥桥型方案设计

原点西路泾河大桥是陕西省西成新区泾河新城内重要的市政基础设施,也是泾河新城重要的景观建筑物.该桥总体设计思路、桥型方案比选以及拱式廊桥的主拱、腹拱、基础、桥面系的设计情况、施工图设计的注意事项均可为市政景观桥梁项目设计提供参考.     

基于USB接口的电力机车能耗记录与分析系统

以C8051F单片机作为中央处理器,采集电参数计量模块和TAX2型机车安全综合监测装置的信息,生成并存储电量消耗记录;通过USB盘转储数据到地面进行处理和分析。系统整体设计具有模块化、准确可靠的特点,对电力机车节能降耗措施提供合理的依据。     

Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas

In today’s world of volatile fuel prices and climate concerns, there is little study on the relationship between vehicle ownership patterns and attitudes toward vehicle cost (including fuel prices and feebates) and vehicle technologies. This work provides new data on ownership decisions and owner preferences under various scenarios, coupled with calibrated models to microsimulate Austin’s personal-fleet evolution.Opinion survey results suggest that most Austinites (63%, population-corrected share) support a feebate policy to favor more fuel efficient vehicles. Top purchase criteria are price, type/class, and fuel economy. Most (56%) respondents also indicated that they would consider purchasing a Plug-in Hybrid Electric Vehicle (PHEV) if it were to cost $6000 more than its conventional, gasoline-powered counterpart. And many respond strongly to signals on the external (health and climate) costs of a vehicle’s emissions, more strongly than they respond to information on fuel cost savings.Twenty five-year simulations of Austin’s household vehicle fleet suggest that, under all scenarios modeled, Austin’s vehicle usage levels (measured in total vehicle miles traveled or VMT) are predicted to increase overall, along with average vehicle ownership levels (both per household and per capita). Under a feebate, HEVs, PHEVs and Smart Cars are estimated to represent 25% of the fleet’s VMT by simulation year 25; this scenario is predicted to raise total regional VMT slightly (just 2.32%, by simulation year 25), relative to the trend scenario, while reducing CO₂ emissions only slightly (by 5.62%, relative to trend). Doubling the trend-case gas price to $5/gallon is simulated to reduce the year-25 vehicle use levels by 24% and CO₂ emissions by 30% (relative to trend).Two- and three-vehicle households are simulated to be the highest adopters of HEVs and PHEVs across all scenarios. The combined share of vans, pickup trucks, sport utility vehicles (SUVs), and cross-over utility vehicles (CUVs) is lowest under the feebate scenario, at 35% (versus 47% in Austin’s current household fleet). Feebate-policy receipts are forecasted to exceed rebates in each simulation year.In the longer term, gas price dynamics, tax incentives, feebates and purchase prices along with new technologies, government-industry partnerships, and more accurate information on range and recharging times (which increase customer confidence in EV technologies) should have added effects on energy dependence and greenhouse gas emissions.     

基于卡尔曼滤波的4WD电动车辆寄生功率的测量技术

根据串励直流电动机工作特性,利用车辆行驶过程中较易测得的驱动电机工作电流及驱动轮转速,运用MATLAB/SIMULINK软件,建立基于卡尔曼滤波的驱动轮滑转率模型和寄生功率模型并进行仿真;通过道路试验对电动机工作电流和驱动轮转速的检测,实时预测驱动轮的滑转率与产生的寄生功率。结果表明,驱动轮滑转率和寄生功率的仿真结果与试验结果非常接近。