液化天然气专用码头系泊安全操作仿真研究

考虑液化天然气码头对安全的特殊要求,结合船舶系泊作业中的诸多因素,以液化天然气专用码头为例,运用船舶操纵模拟器对液化天然气船靠离码头的过程进行仿真实验,由此分析港口水域的风、流、浪及回旋水域尺度等因素对液化天然气船系泊作业的影响,为船舶靠离泊安全操纵提供参考数据,也可为液化天然气码头的建设提供科学的论证。     

基于运行模态分析的船舶推进轴系状态监测

论文提出一种基于运行模态分析(OMA)的新的船舶推进轴系状态监测方法。论文以船舶推进轴系试验台为试验对象,获取轴系运行时不同加载工况下的扭振信号,利用基于数据的随机子空间法(DD-SSI)识别扭振的固有频率,并与已知的试验模态分析(EMA)识别的轴系静态时同一加载工况下的结果进行对比,验证运行模态分析识别结果的准确性,并研究不同加载工况下轴系扭振固有频率随加载工况的变化规律。试验结果表明,运行模态分析能够准确识别轴系的扭振固有频率,且扭振固有频率的增量与加载量呈正相关,因而运行模态分析可以用作一种新的船舶推进轴系状态监测方法。     

Experimental Study of the Tunnels with Natural Ventilation for Various Parameters of Ventilation Openings北大核心CSCD

In order to compare the ventilation efficiency and air speed of the tunnel for different parameters of ventilation openings, the acrylic board is used to build a 1:15 tunnel model and carry out the proportional model test. Four working conditions are set up to compare the ventilation in the tunnel under different ventilation openings in terms of number, length and height. The experimental results show that the air velocity distribution and ventilation efficiency change significantly under different ventilation openings in terms of number, length and height. Based on the test results, the best setting pattern of the ventilation opening is proposed in this paper. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

天然河流航道整治定级的理论计算方法

在编制航道发展规划时,首先应从自然条件角度论证航道资源的开发潜能,然后再根据社会经济不同发展时期的需要制定出各时期的航道建设方案。基于上述理念,文中以水力学、河流动力学等学科为理论基础,提出了一种天然河流航道整治定级的理论计算方法,能够反映天然河流经航道整治后可能达到的航道标准。经西江桂梧段航道基本资料的实例演算,表明该研究思路和方法合理可行,能使航道整治定级工作更趋科学合理。     

时速350 km/h铁路客运专线桥梁设计中应注意的几个方面

高速列车对桥梁结构的动力作用远大于普通铁路桥梁,桥梁出现较大的挠度会直接影响桥上轨道的平顺性,造成结构物承受很大的冲击力,并且会影响到列车的运行安全,其中设计活载图式的选择,离心力以及结构的变形变位,梁体的自振频率都会对桥梁的安全存在影响,因此,这些方面都是在设计中应该注意的。     

Road traffic conditions in Kenya: Exploring the policies and traffic cultures from unstructured user-generated data using NLP

Road traffic accidents (RTA) are a prevalent cause of fatality with African countries having the highest fatality index (25–34 per quota). The World Health Organization estimates Kenya's fatality rate due to RTA at 28 per quota. From literature, the country's fatality and injuries have increased by 26% and 46.5%, respectively, since the year 2015. The country is faced with incomplete RTA data capturing, hindering effective planning and policy adjustments to curb the menace. In this paper, we scrapped user-generated data (Twitter) and national transport and safety authority's (NTSA) reports to shed light on traffic safety, practices, and cultures in the country. To this end, we gathered 1,000,000 tweets and 8000 speeding entries between 2015 and 2021 and performed natural language processing (NLP) and quantitative study of the data. We applied NLP and n-gram search of keywords to categorize data into 8 topics: traffic, public service vehicle (PSVs), policing, accident, infrastructure, recklessness, robbery, and corruption. From the data, policing, which touches on all police and law-enforcement-related activity was found to be highly correlated with PSVs, recklessness, accidents, traffic congestion, robbery, infrastructure, and corruption with indices of r(76) = 0.92, 0. 91, 0.87, 0.82, 0.81, 0.76, and 0.70, respectively with p < 0.001. The topic modeling confirmed the identified topics to be the latent discussion issues affecting the public. From the study, PSVs, policing and traffic flow were isolated as key issues that ought to be addressed immediately. The research recommended the integration of driver monitoring systems to strengthen policing. The research, which utilized unstructured data, points to the utility of data mining which would greatly benefit traffic research, particularly African-based studies, that suffer from data inadequacy.     

Changes concerning commute traffic distribution on a road network following the occurrence of a natural disaster – The example of a flood in the Mazovian Voivodeship (Eastern Poland)

The purpose of this article is to determine the size and spatial structure of changes in traffic density within the regional road network following an occurrence of a flood in the Mazovian Voivodeship, Poland. The use of the application developed for the purpose of this article – offers a possibility to react accordingly when there are non-typical obstructions (here: a flood). On the basis of the conducted study, it has been stated that the greatest changes in vehicle traffic density (the analysis of commute traffic) regard the capital of Mazovian Voivodeship, which – first of all – stems from the fact that it is Warsaw that the largest number of employees commute to. Secondly, it is influenced by the location of the capital city in relation to the river system. In the case of the analysed voivodeship and in ‘normal’ circumstances (no flood), commuting to work remains approximately within the 160-min isochrone. In the second variant, this time would extend nearly eightfold, and in the remaining scenarios fivefold. As far as ‘normal’ circumstances (no flood) and commuting in the Mazovian Voivodeship are concerned, the greatest load refers in particular to the following road classes: main road of accelerated traffic, main road and cumulative road. In this case, express and motorways play a marginal role. On the other hand, in the remaining scenarios, the importance of the class of main road of accelerated traffic decreases at the expense of the classes of main road and cumulative road.     

Well-to-wheel assessment of natural gas vehicles and their fuel supply infrastructures – Perspectives on gas in transport in Denmark

In this paper, potential natural gas and renewable natural gas supply pathways and natural gas vehicles (NGVs) have been selected and evaluated with regards to well-to-wheel energy expended, greenhouse gas (GHG) emissions, and regulated (air pollutant) emissions. The vehicles included in the evaluation are passenger cars, light-duty vehicles (LDVs), and heavy-duty vehicles (HDVs) for road-transport applications, and a short-range passenger vessel for maritime transport applications. The results show that, compared to conventional fuels, in both transport applications and for all vehicle classes, the use of compressed and liquefied natural gas has a 15–27% GHG emissions reduction effect per km travel. The effect becomes large, 81–211%, when compressed and liquefied renewable natural gas are used instead. The results are sensitive to the type and source of feedstock used, the type of vehicle engine, assumed methane leakage and methane slip, and the allocated energy and environmental digestate credits, in each pathway. In maritime applications, the use of liquefied natural gas and renewable natural gas instead of low sulfur marine fuels results in a 60–100% SOx and 90–96% PM emissions reduction. A 1% methane slip from a dedicated LNG passenger vessel results, on average, in 8.5% increase in net GHG emissions.     

基于转子结构优化的永磁同步电机噪声研究

以某型号车载永磁同步电机(PMSM)为研究对象,首先分析径向电磁力波的产生机理,建立电机电磁仿真模型得到径向电磁力的时空分布特性以及特定阶次的径向电磁力波幅值,然后以0阶径向电磁力波幅值的48倍频分量为优化目标,从转子结构优化的角度提出一种转子外表面开设辅助槽的方法,利用响应曲面法得到辅助槽参数对优化目标的影响程度,从...     

Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance

The third part of the state-of-the-art focuses on the future of road safety modeling and on conjectures concerning the evolution of national safety indicators. In the absence of econometric developments specific to road safety modeling, the research future must rely on pre-existing statistical procedures of econometrics applied to discrete/count and to aggregate data. In terms of contents, growing interest in the heterogeneity of road accident outcomes by category of victims could lead to treatments of this issue across research streams, say by top-down and bottom-up developments, but this speculation does not rest on extant adequate formulations of the issue of road user class and victim analysis. But understanding the time profile of aggregate national performance indicators is quite another matter.