组合型水泥粉煤灰碎石桩(CFG桩)复合地基在深厚软基处理中的应用

在深厚软土地基(fak≤100 kPa)上建造储罐等建筑物,承载力要求高、不均匀沉降变形要求严,若采用单一CFG桩复合地基加固,可能导致桩距过小或桩长太长,需要采用组合型复合地基,CFG桩+振冲碎石桩复合地基是组合型复合地基的一种。根据CFG桩+碎石桩组合型复合地基的加固机理,分析了其受力特性以及CFG桩和碎石桩的作用,研究表明CFG桩对提高地基承载力和减小沉降起控制作用。基于优化理论,建立了组合复合地基的优化设计方法。通过工程实例讨论了组合复合地基的优化设计方法,结果表明:复合地基的承载力、沉降量和经济效益均满足工程要求。     

基于气液两相流解析模型的水冲压发动机推进特性分析

给出了喷管中气液两相流动等温正压模型的解析解。基于该解析模型以及水冲压发动机内流道几何参数,迭代求解了发动机在一系列工况下的推进特性。研究表明,水冲压发动机的推力、效率、比冲随着气相质量流量以及航速的共同提高而提高,单单增加航速或单单增加气体质量流率,都会使得比冲和效率先增后减。单单增加气体质量流率,水流流量减小,推力增加,但是耗气量显著增加。单单增加航速,水的流量增加,推力将先增后减。     

铝合金耐压结构设计分析与试验验证

根据水下潜器总体性能要求,按照最小重量原则,结合规范和有限元方法设计工作潜深为500m的铝合金带加强筋形式的圆柱耐压舱,并通过压力筒加压试验,对Ansys有限元静力分析的精确度进行了验证,为耐压结构设计与校核提供重要参考.     

能源消耗实时监测控制系统研究

能源实时监测控制系统的应用,促使船舶能耗监测形式由人工监测向在线监测转变、能耗监管时效由能耗统计向能耗实时监测转变,提高能源消耗监测控制的准确性和实时性,有效提高能耗的现代化管理水平。     

BFL-RS01改性剂在OGFC混合料中的路用性能研究

本文探讨了国产70#沥青、进口70#沥青、BFL-RS01改性剂、SBS改性沥青改性OGFC混合料性能。研究国产沥青和进口沥青分别与BFL-RS01改性剂复配改性OGFC混合料性能,并与SBS改性OGFC混合料性能对比。结果表明,采用BFL-RS01改性OGFC混合料可以提高OGFC混合料的综合路用性能,耐高温性、抗水损害性要比SBS改性OGFC混合料更加优秀。     

减摇复合船型首部构型设计与水池模型试验研究

船舶在波浪中航行时的纵向运动性能是衡量船舶综合航行性能的重要指标.为了改善船舶在波浪中的纵向运动性能,本文基于首部减摇组合附体技术对某型船首部构型进行改造并通过水池模型试验对其静水阻力和耐波性进行了分析研究.在分析该船作业及航区特点的基础上,通过船首部线型改造及减纵摇组合附体构型优化,给出适用于该船的首部构型方案.应用CFD软件和修正切片法进行水动力性能分析,并对船首构型方案进行优选.将优选出的性能较优复合船型方案和原船型开展水池模型静水阻力与耐波性对比试验分析,验证减摇复合船型的静水阻力性能与耐波性能.试验结果表明,改造后的复合船型减纵摇效果明显,对应实船四级海况18节航速下纵摇与首部加速度有义值较原船型降低15%以上;复合船型静水阻力有所增加,实船18节航速下静水阻力增加13.5%.     

实船舵空化现象试验观察

空化是高航速下水面舰船螺旋桨及舵等附体上常见的现象,空化的产生会带来振动、噪声和空蚀等一系列问题,直接影响舰船的舒适性和局部结构的安全性.而由于国内有关实尺度舵空化数据的缺乏,导致人们对于实船舵空化的状况仍知之甚少.本文通过试验方法观察了某一实船舵在一定航速、一定舵角下的空化状况,获得了实船舵空化出现的位置及程度,为实尺度舵空化问题的认识和优化提供了一定参考.     

拖曳球体尾流效应内波表现特征及其产生机理研究

采用PIV技术对分层流体中拖曳球体尾流及内波的流场进行了测量,捕捉到了清晰的尾流效应内波的流场图像。尾流效应内波不规则,有一定的随机性,迟于模型出现,呈"V"字形,波长较短,且不随内傅氏数明显变化,与体效应内波特征差异明显。通过对尾流激发内波过程的分析,发现尾流效应内波与尾涡结构紧密相关,试验测量的内波波长与St数决定的涡间距吻合,验证了尾涡激发内波是尾流效应产生内波的一种机制。     

Bicycle mode share in China: a city-level analysis of long term trends

In the past 15 years, cities in China have experienced big changes in socioeconomic and traffic conditions, resulting in a long term change in bicycle use. This study aims to quantify the changes in bicycle mode share in Chinese cities and explore the potential causes. Based on data from 51 cities, it is found that bicycle mode share at the city level decreased gradually in the past. Conventional bicycle mode share decreased with a rate of 3 % per year, but electric bicycle mode share increased with a rate of 2 % per year. The correlations between city features such as demographics and built environments and bicycle mode share at different city sizes are compared. The generalized linear models are estimated to relate the changes in the share of different trip modes to various city-level factors. The results show that the bicycle mode share in a city is impacted by factors including city area size, population density, number of cars, percentage of local road mileage among all roads, and trip purpose. Possible reasons for the changes in bicycle uses in Chinese cities are explored and policy implications are discussed.     

Isolating high-priority metro and feeder bus transfers using smart card data

Fixed-rail metro (or ‘subway’) infrastructure is generally unable to provide access to all parts of the city grid. Consequently, feeder bus lines are an integral component of urban mass transit systems. While passengers prefer a seamless transfer between these two distinct transportation services, each service’s operations are subject to a different set of factors that contribute to metro-bus transfer delay. Previous attempts to understand transfer delay were limited by the availability of tools to measure the time and cost associated with passengers’ transfer experience. This paper uses data from smart card systems, an emerging technology that automatically collects passenger trip data, to understand transfer delay. The primary objective of this study is to use smart card data to derive a reproducible methodology that isolates high priority transfer points between the metro system and its feeder-bus systems. The paper outlines a methodology to identify transfer transactions in the smart card dataset, estimate bus headways without the aid of geographic location information, estimate three components of the total transfer time (walking time, waiting time, and delay time), and isolate high-priority transfer pairs. The paper uses smart card data from Nanjing, China as a case study. The results isolate eight high priority metro-bus transfer pairs in the Nanjing metro system and finally, offers several targeted measures to improve transfer efficiency.