城市轨道交通高架线适用性评价研究

提出城市轨道交通高架线适用性的概念,并将适用性划分5个等级。根据高架线的特点及影响因素,选取指标建立高架线适用性评价体系。针对指标间具有相互影响的特点,选用网络层次分析法,对所有因素进行指标关系的网络连接及建模,并结合实例,运用Super Decisions软件对此复杂网络矩阵计算确定权重,选用模糊综合评价方法,对定性的因素进行量化分析,确定各指标的权重等级,从而对城市轨道交通高架线适用性进行评价。     

轨道交通站域步行系统优化研究

城市轨道交通的建设是老旧街区转型发展的重要契机,一方面引导居民出行方式,提高出行便利度,另一方面对轨道站点周边空间进行更新改造,补充完善公共服务设施,打造高品质的公共空间环境。本文以重庆南岸区海棠溪轨道站步道为例,从轨道站步行系统安全性、便捷性、舒适性的角度,提出优化步行通道的措施,对改善居民轨道接驳交通出行具有重要意义。     

经尿道切除综合征的实验研究

本文通过经尿道切除综合征(TURS)的实验研究发现:①冲洗液吸收完时,血钠下降最为明显,而它的恢复与血浆甘露醇的消除在时相上并不一致。低钠的影响大且持续的时间长。②冲洗液吸收后,血钾逐渐升高。高钾血症是实验动物死亡的主要原因之一。③等渗的甘露醇冲洗液吸收,血浆渗透压不发生改变。④死亡兔肺重量明显增加,呈肺水肿表现。无脑水肿存在。④根据动物实验推算,经尿道前列腺切除的患者,术中短时间內吸收38ml/kg以上的冲洗液,有发生TURS的可能。上述结果对TURS病理生理改变的认识及其防治提供了实验依据。     

宝应二桥刚性斜拉杆的试验及分析

以在建的宝应二桥现浇混凝土刚性斜拉杆的研究对象，对该桥所采用的刚性斜拉杆设计方法及其现场浇筑混凝土施工方法进行试验及分析，以检验按设计方法所求得的斜拉索拉力Ｎ和设计所确定的预应力索线型（圆曲线半径Ｒ与曲线矢高ｆ）是否适宜。从而保持斜拉杆的设计线型，避免混凝土斜拉杆在张拉过程中变形过大甚至开裂，同时也对钢束在管壁内的，贴合情况和预应力摩阻损失进行了试验分析。     

Study of algorithms of new slender ship theory of wave resistance

In this paper, Noblesse‘s New Slender-Ship Wave-Making Theory was investigated numerically. Detailed expressions of zeroth and 1st order wave resistance have been derived and calculation programs have also been compiled. In the single and double integral terms of Green function, the kernel function of wave resistance expression, special function expansion method and Chebyshev polynomials approach have been adopted respectively, which greatly simplify the calculation and increase the convergence speed.     

Explaining light vehicle demand evolution in interurban toll roads: a dynamic panel data analysis in Spain

Tolls have increasingly become a common mechanism to fund road projects in recent decades. Therefore, improving knowledge of demand behavior constitutes a key aspect for stakeholders dealing with the management of toll roads. However, the literature concerning demand elasticity estimates for interurban toll roads is still limited due to their relatively scarce number in the international context. Furthermore, existing research has left some aspects to be investigated, among others, the choice of GDP as the most common socioeconomic variable to explain traffic growth over time. This paper intends to determine the variables that better explain the evolution of light vehicle demand in toll roads throughout the years. To that end, we establish a dynamic panel data methodology aimed at identifying the key socioeconomic variables explaining changes in light vehicle demand over time. The results show that, despite some usefulness, GDP does not constitute the most appropriate explanatory variable, while other parameters such as employment or GDP per capita lead to more stable and consistent results. The methodology is applied to Spanish toll roads for the 1990–2011 period, which constitutes a very interesting case on variations in toll road use, as road demand has experienced a significant decrease since the beginning of the economic crisis in 2008.     

Precise estimation of connections of metro passengers from Smart Card data

The aim of this study is to estimate both the physical and schedule-based connections of metro passengers from their entry and exit times at the gates and the stations, a data set available from Smart Card transactions in a majority of train networks. By examining the Smart Card data, we will observe a set of transit behaviors of metro passengers, which is manifested by the time intervals that identifies the boarding, transferring, or alighting train at a station. The authenticity of the time intervals is ensured by separating a set of passengers whose trip has a unique connection that is predominantly better by all respects than any alternative connection. Since the connections of such passengers, known as reference passengers, can be readily determined and hence their gate times and stations can be used to derive reliable time intervals. To detect an unknown path of a passenger, the proposed method checks, for each alternative connection, if it admits a sequence of boarding, middle train(s), and alighting trains, whose time intervals are all consistent with the gate times and stations of the passenger, a necessary condition of a true connection. Tested on weekly 32 million trips, the proposed method detected unique connections satisfying the necessary condition, which are, therefore, most likely true physical and schedule-based connections in 92.6 and 83.4 %, respectively, of the cases.     

Numerical Analysis of a Floating Offshore Wind Turbine by Coupled Aero-Hydrodynamic Simulation

Journal of Marine Science and Application - The exploration for renewable and clean energies has become crucial due to environmental issues such as global warming and the energy crisis. In recent...