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11.
软土地层中盾构施工对既有地铁沉降的影响分析   总被引:2,自引:0,他引:2  
针对上海地铁七号线下穿地铁二号线的实际,利用ADINA软件对施工过程进行模拟,来分析盾构施工对既有地铁沉降的影响.通过对施工中不同影响因素的对比分析,发现由于土体超挖、不及时施作管片和注浆未紧跟等因素引起的不同应力释放率会对既有地铁沉降产生较大影响.  相似文献   
12.
文章以厦蓉高速公路广西境内灌阳至全州段K13+710通道涵洞为工程实例,利用FLAC3D(快速拉格朗日分析)软件对高填方路堤中的顶板通道进行数值仿真分析,总结了高填方路堤通道涵洞的受力特性,并提出了通道涵洞设计施工中应注意的问题。  相似文献   
13.
讨论了实现三维河床地形可视化的相关理论、技术和算法,详细介绍了以V isua l C 6.0为平台,利用O penGL基本函数编程技术开发三维河床地形可视化实时浏览系统的具体过程,为河床演变分析提供了一个科学有效、简便直观的可视化分析途径。  相似文献   
14.
为了实现安全、可靠、真实的三维煤码头监控,通过GENESIS64软件平台导入3D建模,实现三维场景的展示。3D煤堆由先进的激光点云技术,产生海量测量点,使用点云灰度算法处理,再通过C#点云生成灰度图,在GENESIS64中生成真实的立体堆场画面。  相似文献   
15.
Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.  相似文献   
16.
When analysing the effects of transport policies it is important to adequately control for heterogeneity: previous studies note that ignoring heterogeneity biases the estimated welfare effects of tolling. This paper examines the effects of tolling, in a bottleneck model, with a continuously distributed value of time. With homogeneous users, first-best public tolling has no effect on prices. With heterogeneity it does: low values of time lose, and high values of time gain. The average congestion externality decreases with the heterogeneity in the value of time. Consequently, the welfare gain of first-best tolling also decreases. The more heterogeneous the value of time is, the lower the relative efficiency of a public pay-lane. This finding contrasts with the previous literature. Earlier studies, using static flow congestion, conclude that the relative efficiency increases with this type of heterogeneity. With more heterogeneity in the value of time, the relative efficiency of a private pay-lane is also lower, while that of a public time-invariant toll is higher. Our results suggest that the welfare gains of different tolling schemes are affected differently by heterogeneity. Further, the impact of heterogeneity on the effects of a policy also depends on the type of congestion considered.  相似文献   
17.
膨胀土滑坡问题在工程建设领域出现的越来越多,准确地了解膨胀土土体各项参数对其稳定性有何影响显得尤为重要。以宿州至扬州高速公路天长段膨胀土边坡实例为计算模型,利用正交试验探讨了边坡土体天然密度、粘聚力、内摩擦角、弹性模量和泊松比对其稳定性的影响,得出了一些有意义的结论,为工程建设中膨胀土边坡设计和治理提供参考。  相似文献   
18.
采用快速拉格朗日方法,以差分技术引入时问因素实现了从连续介质小变形到大变形的分析模拟,对湖南省对121援建项目一四川理县至小金公路工程中豹子嘴边坡建立了三维模型,并采用2008年5.12汶川M8.0级地震中木卡站实测的地震波,在对地震波进行校正的基础上,进行动力数值模拟,分析了地震荷载作用下岩质边坡的位移、加速度和速度的动力响应过程和规律。岩质边坡动力响应分析表明地震荷载下岩质边坡最小水平永久位移、最小水平加速度反应峰值及最小水平速度反应峰值均发生在坡脚处,且在竖向方向均存在较明显的放大效应,其位移、加速度和速度的放大效应存在一定差异,放大倍数分别为18,1.3和6.35。  相似文献   
19.
Terrain physical characteristics can have a significant impact on passenger vehicle handling, ride quality, and stability. Here, an algorithm is presented to classify terrain using a single suspension-mounted accelerometer. The algorithm passes a measured acceleration signal through a dynamic vehicle model to estimate the terrain profile, and then extracts spatial frequency components of this estimated profile. A method is introduced to identify and remove terrain impulses from the profile that are caused by ruts and potholes. Finally, a supervised support vector machine is employed to classify profile segments as members of pre-defined classes (such as asphalt, brick, gravel, etc.). The classification algorithm is validated with experimental data collected with a passenger vehicle driving in real-world conditions. The algorithm is shown to classify multiple terrain types with reasonable accuracy at a range of typical automotive speeds. It is also shown that the removal of terrain impulses prior to classification improves classifier performance.  相似文献   
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