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991.
Milan Janić 《运输规划与技术》2013,36(6):569-592
This paper investigates the potential of Light Rail Rapid Transit (LRRT) to mitigate the environmental and social burden of ground access systems of an airport. This implies, on the one hand, LRRT's capability in mitigating externalities in terms of noise, air pollution/climate change, traffic incidents/accidents and congestion of airport ground access systems and, on the other, the provision of sufficient capacity to accommodate generally increasing volumes of both air passenger and airport employee demand by connecting the airport to its core catchment area. A methodology for assessing the capability of LRRT operating as an airport ground access system is developed. This methodology consists of models to analyze and predict demand and capacity for an LRRT system and models to quantify the externalities of particular airport ground access systems as well as assessing their prospective savings thanks to the introduction of an LRRT system. The methodology is applied to a large European airport – Amsterdam Schiphol (the Netherlands) – using a ‘what-if?’ scenario approach. 相似文献
992.
为了从细观角度阐释级配碎石作为应力消散层对半刚性基层反射裂缝的作用机理,利用离散元方法生成未设置和设置级配碎石层沥青路面结构的细观模型,模拟了上述两种路面结构在标准轴载作用下的响应过程,得到了两种路面结构的接触力分布、最大接触力、应力集中区域的y向平均应力和平均应变,以及集料颗粒的位移矢量.数值模拟结果表明:路面结构中产生的接触力主要沿荷载作用位置向下传递,设置级配碎石应力消散层后路面结构二中产生最大接触力比未设置级配碎石的路面结构一减小了6.1%,面层层底的平均应力、平均应变分别降低了11.79%,65.43%,集料的位移在路面表面附近最大,沿深度方向逐渐减小,路面结构一、二面层层底相同颗粒的位移分别为0.205 cm,0.126 cm,上述结果均体现了级配碎石对应力消散的效果. 相似文献
993.
对普通干线公路监测工作事故的成因进行了分析,得出影响监测工作安全的五大主要风险因素即人、设备、基础设施、环境、管理.然后利用解释结构模型(ISM)、系统化的建模技术和计算机工具对这五大风险因素间的逻辑关系进行了运算和分析,并由此建立了描述影响普通干线公路监测工作安全的多级递阶解释结构模型.在此基础上,利用风险矩阵法对普通干线公路监测工作中的各个风险源进行了评价并确定了风险等级.最后针对不同的风险等级,依据风险控制原则,对各个风险因素提出了相应的措施和建议,以提高普通干线公路监测工作中的安全管理水平. 相似文献
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996.
Mohammad Reza Shekari 《船舶与海洋工程学报》2014,(3)
In thispaper, the effects of a rigid baffle on the seismic response of liquid in a rigid cylindrical tank are evaluated. A baffle is an annular plate which supplies a kind of passive control on the effects of ground excitation. The contained liquid is assumed incompressible, inviscid and has irrotational motion. To estimate the seismic response, the method of superposition of modes has been applied. To analyze the rigid tank response, Laplace's equation is considered as the governing equation of the fluid domain, in both time and frequency domains. The boundary element method(BEM) is employed to evaluate the natural modes of liquid in a cylindrical tank. To gain this goal, the fluid domain is divided into two upper and lower parts partitioned by the baffle. Linearized kinematic and dynamic boundary conditions of the free surface of the contained liquid have been considered. 相似文献
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机械系统中激励源传出的波将沿传输路径衰减,并会经由含源子系统边界传递出去,因而只有输入功率的残余部分以混响场的形式消耗在该子系统内。为提高应用统计能量分析法(SEA)计算振动噪声的精度,对上述过程进行深入分析,并以一个简单梁系为例,给出传入该梁系的输入功率的表达式。分析结果表明,传输波对计算结果的影响随着损耗因子的增加而增加。同时,分析将传输波的影响计入诸如舰船这种复杂空间结构的实际可行性。估算结果表明,仅对含源子结构考虑传输波的影响是充分可行的。 相似文献
999.
This study develops a car‐following model in which heavy vehicle behaviour is predicted separately from passenger car. Heavy vehicles have different characteristics and manoeuvrability compared with passenger cars. These differences could create problems in freeway operations and safety under congested traffic conditions (level of service E and F) particularly when there is high proportion of heavy vehicles. With increasing numbers of heavy vehicles in the traffic stream, model estimates of the traffic flow could be degrades because existing car‐following models do not differentiate between these vehicles and passenger cars. This study highlighted some of the differences in car‐following behaviour of heavy vehicle and passenger drivers and developed a model considering heavy vehicles. In this model, the local linear model tree approach was used to incorporate human perceptual imperfections into a car‐following model. Three different real world data sets from a stretch of freeway in USA were used in this study. Two of them were used for the training and testing of the model, and one of them was used for evaluation purpose. The performance of the model was compared with a number of existing car‐following models. The results showed that the model, which considers the heavy vehicle type, could predict car‐following behaviour of drivers better than the existing models. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
1000.