梯级电站变动回水区设计最低通航水位确定方法

梯级电站变动回水区受上游电站下泄流量与下游坝前水位双重影响,设计最低通航水位的确定十分复杂。传统的设计最低通航水位保证率主要对流量进行统计,指标不够全面;而且设计最低通航水位计算工况组合的选取具有一定的偶然性,实际设计过程中可操作性不强。提出入库流量与坝前水位组合保证率计算方法,该方法综合考虑了入库流量与坝前水位遭遇组合的概率。利用该方法可合理确定梯级电站变动回水区设计最低通航水位,同时结合电站调度方案,在电站可接受的调度方式下,投入最少的资金对航道进行整治,以达到最优的效果。     

绿色港湾建设

结合国内外10大著名港口实例,从规划设计、结构选型、使用年限确定、旧有建筑物的改造和再利用、提高环保理念和健全法规等方面,论述了＂绿色港湾＂建设的必要性和可行性,以探研绿色港湾建设及其相关概念,并提出建议。可供规划设计人员参考。     

公路特大型泥石流研究及防治新理念

作为我国一种严重的公路水毁类型，公路特大型泥石流灾害至今尚未解决，本文建构了该类泥石流研究及防治新理念，对于公路建筑物的安全与稳定、确保公路交通有序进行具有重要意义。研究认为，公路泥石流研究及防治的主要对象是具有大冲大淤性能、毁损作用强烈的特大型泥石流；必须遵循以泥石流发育机理研究为基础、防治技术研究为手段、防治工程研究为目的的研究原则；详细分析了公路泥石流水毁模式，概化分析了冲淤变动型沟谷泥石流的发育特性；开发了防治效果极佳的速流结构，运用运动状态函数法建构了速流结构设计理念，运用动力学建构了泥石流最大抛程计算理论。     

Using GPS-data to determine optimum electric vehicle ranges: A Michigan case study

Fuel-switching personal transportation from gasoline to electricity offers many advantages, including lower noise, zero local air pollution, and petroleum-independence. But alleviations of greenhouse gas (GHG) emissions are more nuanced, due to many factors, including the car’s battery range. We use GPS-based trip data to determine use type-specific, GHG-optimized ranges. The dataset comprises 412 cars and 384,869 individual trips in Ann Arbor, Michigan, USA. We use previously developed algorithms to determine driver types, such as using the car to commute or not. Calibrating an existing life cycle GHG model to a forecast, low-carbon grid for Ann Arbor, we find that the optimum range varies not only with the drive train architecture (plugin-hybrid versus battery-only) and charging technology (fast versus slow) but also with the driver type. Across the 108 scenarios we investigated, the range that yields lowest GHG varies from 65 km (55+ year old drivers, ultrafast charging, plugin-hybrid) to 158 km (16–34 year old drivers, overnight charging, battery-only). The optimum GHG reduction that electric cars offer – here conservatively measured versus gasoline-only hybrid cars – is fairly stable, between 29% (16–34 year old drivers, overnight charging, battery-only) and 46% (commuters, ultrafast charging, plugin-hybrid). The electrification of total distances is between 66% and 86%. However, if cars do not have the optimum range, these metrics drop substantially. We conclude that matching the range to drivers’ typical trip distances, charging technology, and drivetrain is a crucial pre-requisite for electric vehicles to achieve their highest potential to reduce GHG emissions in personal transportation.     

动力定位船舶全速度路径跟踪CB导引自适应闭环控制

针对仅使用槽道推进器提供横向推力的动力定位船舶路径跟踪控制问题,建立慢变环境干扰影响下的非线性船舶数学模型,设计带有自适应干扰补偿的反步控制算法来消除环境干扰的影响。引入平行目标接近(CB)导引算法为跟踪控制生成期望速度矢量信号,通过与所提出的自适应反步控制算法相结合,得到不受船舶驱动特性限制的全速度范围动力定位船舶导引跟踪控制算法,应用李雅普诺夫稳定性理论证明系统跟踪误差渐进收敛到零。仿真结果表明通过调整导引算法参数可以调节船舶跟踪过程表现,并可以得到较好的控制精度。     

Socially optimal electric driving range of plug-in hybrid electric vehicles

This study determines the optimal electric driving range of plug-in hybrid electric vehicles (PHEVs) that minimizes the daily cost borne by the society when using this technology. An optimization framework is developed and applied to datasets representing the US market. Results indicate that the optimal range is 16 miles with an average social cost of $3.19 per day when exclusively charging at home, compared to $3.27 per day of driving a conventional vehicle. The optimal range is found to be sensitive to the cost of battery packs and the price of gasoline. When workplace charging is available, the optimal electric driving range surprisingly increases from 16 to 22 miles, as larger batteries would allow drivers to better take advantage of the charging opportunities to achieve longer electrified travel distances, yielding social cost savings. If workplace charging is available, the optimal density is to deploy a workplace charger for every 3.66 vehicles. Moreover, the diversification of the battery size, i.e., introducing a pair and triple of electric driving ranges to the market, could further decrease the average societal cost per PHEV by 7.45% and 11.5% respectively.     

基于层次分析法的区间估计的车站能力查定误差因子分析研究

本文归纳总结了车站能力查定计算过程中存在的多种影响因素,深入分析了其产生原因和不可避免性。然后利用层次分析法的区间估计方法计算得出各种误差因子对计算结果的影响权重大小,并对比不同误差因子的权重区间,筛选出强误差因子,剔除弱误差因子,为精确计算车站能力值提供依据。     

大极差情况下载荷试验承载力取值计算

对于载荷试验的大极差,各种规范没有给出统一的规定,试验数据的处理比较随便,造成不经济或不安全。当极差大于30%平均值或最大值与最小值之比大于1.3时,承载力取值可采用离群值剔除法、变异系数折减法确定。案例计算分析表明,给出的计算公式合理、计算简单方便,可用于各种载荷试验确定承载力。     

基于信息衰减的无源干扰作战效能研究

针对箔条干扰云团的作战效能问题，从信息衰减的角度出发，建立了基于雷达最大作用距离的衰减模型和基于发现概率的效费比模型，通过仿真实例验证了箔条走廊密度对雷达最大作用距离的定量关系，提出了箔条走廊干扰取得最佳效费比的方法，结果表明，合理设计箔条走廊密度和抛撒箔条数量，可以取得最佳的效费比，对箔条的实际应用有很强的实用价值。     

基于惯性基准的激光路面平整度检测系统研究

依据1/4车模型,分析了基于惯性基准的路面平整度检测方法,给出了采用激光测距仪和加速度传感器的输出信号获得待测路面纵断面相对高程的计算公式,实现了多路数据的同步采集与联合处理,介绍了对传感器输出信号的数据处理方法.通过与精密水准仪测量方法进行对比试验,结果表明基于惯性基准的检测方法在路面平整度检测中是可行的.