基于模糊理论的船舶复合碰撞危险度计算

基于船舶领域和动界的概念,在船舶碰撞几何原理的基础上,利用模糊规则和模糊综合评价方法,本文提出一种船舶复合碰撞危险度的计算方法.确定最近会遇距离(DCPA)、最近会遇时间(TCPA)、两船距离、相对方位、船速比5个主要因素的隶属度函数,并考虑航行区域状况、能见度情况和船舶的操纵性能等对船舶碰撞危险度的隶属度函数修正.用原始数据对3种不同会遇态势进行仿真和对3种不同碰撞危险度计算结果分析比较,结果表明该方法的有效性.     

青岛前湾港南港区混合土的研究

工程中常见淤泥类土与砂类土相混构成的混合土,其中淤泥类土土质极软但在土工试验中却可得出较大内摩擦角.以青岛港前湾港区南区的混合土为例,阐述混合土的成因和分布特征,分析与评价混合土的物理力学性质和采用混合土工程设计特性指标的原则、方法,并提出该地区混合土工程特性指标.     

自升式钻井平台方案评价指标体系及评价方法研究(英文)

本文对白升式钻井平台的方案评价指标体系和评价方法进行了研究,提出了一套适用于自升式钻井平台的方案评价指标体系,并采用改进的灰关联分析法进行平台方案的优选,初步分析和计算实例表明,该评价指标体系和评价方法是适用和可靠的.通过对联分析方法进行改进,建立了适用于自升式钻井平台方案选优的灰关联多目标综合评价模型,该模型在灰关联分析的基础上引进层次分析法计算各指标的权重值,既在一定程度上考虑了设计方案各指标间的关联性,反应了事物的客观本质,又能体现船东的主观偏好和设计者的设计需要.同时该方案评价指标体系和评价方法具有拓展性,可应用于其它类型的移动式平台,作为方案选择时的参考依据.     

城市轨道交通乘客满意度评价体系的构建

对城市轨道交通如何建立乘客满意度测评指标体系进行研究,在把握整体的基础上,分析运营部门如何对服务水平的关键点进行控制与管理,为管理者建立符合自身实际情况的乘客满意度评价体系提供参考依据.     

绕碰撞点转动的汽车二维碰撞速度分析

利用刹车印公式、动量守恒定理和相对质心转动的冲量矩定理．通过测量出碰撞点的位置,在不需要车辆回转角速度、法向弹性恢复系数和切向相时滑动摩擦系数的情况下,推算出一种两汽车发生二维碰撞时的速度。     

有限元可靠度方法在桥梁工程中的应用

一次二阶矩法是目前求解结构可靠性分析的主要计算方法之一．该方法要求功能函数对随机变量的偏导运算。然而对于以有限元方法分析为主的桥梁结构．无法对其隐式功能函数进行显式求导．限制了一次二阶矩法的应用。本文给出了隐式功能函数可靠度的随机有限元解决方案．考虑了有限元方法和可靠度方法结合使用过程中,经典一次二阶矩法的改造问题。算例表明,该方法能够适用于基于有限元的结构可靠度分析,并在求解过程中给出随机变量的敏感系数。     

制动器在水力式升船机中的应用

依托景洪升船机工程,探讨水力式升船机制动器的应用。通过对比分析电力驱动和水力驱动式升船机制动器的布置特点及工作方式,阐述制动器在水力式升船机中面临的新的技术问题,据此对水力式升船机制动器的制动力、同步性以及制动方式提出设计指标和要求,并探讨制动器的使用范围。建议水力式升船机制动器采用常开式,升船机正常运行时,制动器在船厢上、下游对接时投入使用。     

How Do Governments Support the Development of Public Private Partnerships? Measuring and Comparing PPP Governmental Support in 20 European Countries

Abstract

Taking an institutional perspective, in this article we develop an index of the governmental support for public private partnership (PPP) — a ‘PPP Governmental Support Index’ (GSI) — which aims to measure the extent to which national governments provide an institutional framework that is either conducive or preventive for the introduction and diffusion of PPPs within transport infrastructure and other sectors. First, based on a substantive review of the literature, we define the elements of the PPP GSI, including the policy and political commitment regarding PPPs, the legal and regulatory framework, and the presence/absence of dedicated PPP-supporting arrangements. Second, we calculate the PPP GSI for 20 European countries, cluster them and compare similarities and differences in national governmental support of infrastructure PPPs. Third, we explore the potential link between national institutional index scores and infrastructure PPP activity in the 20 countries. Lastly, we discuss the potential and usefulness of the presented PPP GSI, as well as methodological limitations, and elaborate on how this index might be utilised to strengthen future comparative research on PPP in transport and other sectors.     

Vulnerability analysis for large-scale and congested road networks with demand uncertainty

To assess the vulnerability of congested road networks, the commonly used full network scan approach is to evaluate all possible scenarios of link closure using a form of traffic assignment. This approach can be computationally burdensome and may not be viable for identifying the most critical links in large-scale networks. In this study, an “impact area” vulnerability analysis approach is proposed to evaluate the consequences of a link closure within its impact area instead of the whole network. The proposed approach can significantly reduce the search space for determining the most critical links in large-scale networks. In addition, a new vulnerability index is introduced to examine properly the consequences of a link closure. The effects of demand uncertainty and heterogeneous travellers’ risk-taking behaviour are explicitly considered. Numerical results for two different road networks show that in practice the proposed approach is more efficient than traditional full scan approach for identifying the same set of critical links. Numerical results also demonstrate that both stochastic demand and travellers’ risk-taking behaviour have significant impacts on network vulnerability analysis, especially under high network congestion and large demand variations. Ignoring their impacts can underestimate the consequences of link closures and misidentify the most critical links.