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。     

非自由液化场地地基动力性能大型振动台模型试验研究

基于1∶10模型大型振动台试验,研究非自由液化场地的地基动力性能。液化场地条件下,与自由场地基相比,非自由场地地基的自振频率明显加大、动力耗能作用提高较小。土层液化前且在小震输入下,地基动力变形的线性特征较突出,主要表现为对地震波的动力放大作用,加速度反应自下而上逐渐增大;土层完全液化后,地基加速度反应自下而上也逐渐增大,这是由于液化地基的层间剪切运动加快且加快的速率自下而上逐渐增大所致。地基孔压变化主要受两方面因素影响:一是随埋深减小,孔压减小,但孔压比增大;二是离桩距离越近,孔压和孔压比越大。土层液化前,输入波主要峰值过后,自下而上孔压消散逐渐减慢。较大震输入下,自下而上孔压有减小的趋势,但最大孔压比均很快达到液化孔压比;输入波主要峰值过后,孔压消散很缓慢,尤其是孔压消散随埋深减小越来越慢。试验中还出现瞬时负孔压的有趣现象,这也许是由于可液化土层发生瞬时膨胀作用所致。     

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。     

港口工程沙土液化判别方法

沙土液化是场地和地基的地震效应的重要内容,我国港口主要采用基于标准贯入试验的沙土液化判别方法以及静力触探等原位测试方法,而欧美、非洲及东南亚大多采用Seed简化法以及基于概率与统计分析的估计方法。通过多种液化判别方法的分析,论证其合理性,针对不同性质的工程合理运用于水运港口工程抗震作用。     

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.     

淤泥质海岸波致液化及航道骤淤问题初步研究

研究波浪与淤泥海床相互作用导致的海床液化、体积冲刷和高浓度近底悬沙的层移输运问题。采用de Wit提出的液化判别条件及计算方法,结合连云港近岸波浪和淤泥力学特征,计算不同来波条件下淤泥质海床的液化深度;进一步考虑浑水中含沙量对流速的折减影响,计算液化层运移速度分布。计算结果表明,大浪条件下,淤泥质海床可能有较大的液化深度,但层移厚度不大。由于层移含沙量较高,在近底水流驱动下仍能形成较大的输沙率和一定规模的大风天航道骤淤。有关研究成果为海床稳定性分析和输沙计算提供了新的思路和方法。     

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。     

海堤内坡种植防护林的安全影响分析及尺度论证

海堤从外海堤脚至内侧护堤之间的滩涂围垦空间,既是陆地边缘,也是水的边缘。外侧可构建滨海景观,内侧结合随塘河形成亲水景观,具有得天独厚的优势。内侧平台的防护林及景观有机结合,可构建人们休闲旅游的"黄金绿带"。结合台州某海堤生态提升工程,提出海堤生态提升总体技术方案,重点对海堤内坡种植景观防护林对海堤安全的影响进行分析,明确种植平台高程、尺度布置等主要技术参数,为类似海堤生态改造工程提供参考。