可拓理论在高等级公路隧道围岩分级中的应用研究

根据可拓理论在解决不相容问题及不确定问题等方面的突出特点,文章对其进行了适当的改进,得出高等级公路隧道围岩分级系统可拓评价体系,并应用于广东省惠深高速公路牛湖山隧道的围岩质量评价当中.且通过与灰色关联分析方法、专家经验方法等评价结果相比较,证明了高速公路隧道围岩分级系统可拓评价体系的科学性、合理性和经济性.     

基于PHA-LEC-SCL法公路隧道施工安全评价研究

为了制定科学的公路隧道施工安全评价的基本模式,针对公路隧道施工的危险、有害因素的危害程度及特殊工艺,将公路隧道施工系统分为隧道开挖、爆破、施工用电、施工通风、出碴与洞内运输、支护衬砌等6个主要子系统.运用预先危险性分析法(PHA)对公路隧道施工的危险、危害因素进行辨识和定性分析,结合作业条件危险性评价法(LEC)对公路隧道施工系统中各子系统进行危险性评价,定量分析计算PHA中的子系统各个危险因素的危险等级,并采用安全检查表(SCL)对公路隧道施工现场进行安全综合评价,建立了安全评价方法之间的内在联系.PHA-LEC-SCL法确立了公路隧道施工安全评价的基本模式.     

Existence of self-financing and Pareto-improving congestion pricing: Impact of value of time distribution

This paper considers a static congestion pricing model in which travelers select a mode from either, driving on highway or taking public transit, to minimize a combination of travel time, operating cost and toll. The focus is to examine how travelers’ value of time (VOT), which is continuously distributed in a population, affects the existence of a pricing-refunding scheme that is both self-financing (i.e. requiring no external subsidy) and Pareto-improving (i.e. reducing system travel time while making nobody worse off). A condition that insures the existence of a self-financing and Pareto-improving (SFPI) toll scheme is derived. Our derivation reveals that the toll authority can select a proper SFPI scheme to distribute the benefits from congestion pricing through a credit-based pricing scheme. Under mild assumptions, we prove that an SFPI toll always exists for concave VOT functions, of which the linear function corresponding to the uniform distribution is a special case. Existence conditions are also established for a class of rational functions. These results can be used to analyze more realistic VOT distributions such as log-normal distribution. A useful implication of our analysis is that the existence of an SFPI scheme is not guaranteed for general functional forms. Thus, external subsidies may be required to ensure Pareto-improving, even if policy-makers are willing to return all toll revenues to road users.     

黄土连拱隧道两主洞开挖面合理间距研究

山区隧道由于受地形及展线限制,一些较短的隧道常常选用连拱结构型式。通过黄土连拱隧道的三维弹塑性数值模拟,分析了在左洞施工后,右洞施工对左洞的影响规律。对于本工程,黄土连拱隧道的两洞开挖面的合理距离为30 m。推广而言,对于黄土连拱隧道,两洞的开挖距离应为单洞跨度的3倍。     

A time-use activity-pattern recognition model for activity-based travel demand modeling

This study develops a new comprehensive pattern recognition modeling framework that leverages activity data to derive clusters of homogeneous daily activity patterns, for use in activity-based travel demand modeling. The pattern recognition model is applied to time use data from the large Halifax STAR household travel diary survey. Several machine learning techniques not previously employed in travel behavior analysis are used within the pattern recognition modeling framework. Pattern complexity of activity sequences in the dataset was recognized using the FCM algorithm, and resulted in identification of twelve unique clusters of homogeneous daily activity patterns. We then analysed inter-dependencies in each identified cluster and characterized the cluster memberships through their socio-demographic attributes using the CART classifier. Based on the socio-demographic characteristics of individuals we were able to correctly identify which cluster individuals belonged to, and also predict various information related to their activities, such as start time, duration, travel distance, and travel mode, for use in activity-based travel demand modeling. To execute the pattern recognition model, the 24-h activity patterns are split into 288 three dimensional 5 min intervals. Each interval includes information on activity types, duration, start time, location, and travel mode if applicable. Results from aggregated statistical evaluation and Kolmogorov–Smirnov tests indicate that there is heterogeneous diversity among identified clusters in terms of temporal distribution, and substantial differences in a variety of socio-demographic variables. The homogeneous clusters identified in this study may be used to more accurately predict the scheduling behavior of specific population groups in activity-based modeling, and hence to improve prediction of the times and locations of their travel demands. Finally, the results of this study are expected to be implemented within the activity-based travel demand model, Scheduler for Activities, Locations, and Travel (SALT).

     

基于数码摄影技术的隧道围岩变形非接触量测方法研究

基于数码摄影技术的隧道围岩变形非接触量测法是一种与传统测量完全不同的新方法,具有设备简单、不干扰施工、自动化程度高等特点,能更好地满足现在长大隧道各种技术要求。文章对数码摄影测量技术原理及其实现过程进行了比较全面的研究,并对现场试验获取的测量数据加以分析,得到了较好的结论。该方法为地下工程量测技术开辟了一条新的途径。     

A frequency-based maritime container assignment model

This paper transfers the classic frequency-based transit assignment method of Spiess and Florian to containers demonstrating its promise as the basis for a global maritime container assignment model. In this model, containers are carried by shipping lines operating strings (or port rotations) with given service frequencies. An origin–destination matrix of full containers is assigned to these strings to minimize sailing time plus container dwell time at the origin port and any intermediate transhipment ports. This necessitated two significant model extensions. The first involves the repositioning of empty containers so that a net outflow of full containers from any port is balanced by a net inflow of empty containers, and vice versa. As with full containers, empty containers are repositioned to minimize the sum of sailing and dwell time, with a facility to discount the dwell time of empty containers in recognition of the absence of inventory. The second involves the inclusion of an upper limit to the maximum number of container moves per unit time at any port. The dual variable for this constraint provides a shadow price, or surcharge, for loading or unloading a container at a congested port. Insight into the interpretation of the dual variables is given by proposition and proof. Model behaviour is illustrated by a simple numerical example. The paper concludes by considering the next steps toward realising a container assignment model that can, amongst other things, support the assessment of supply chain vulnerability to maritime disruptions.     

预切槽技术及其应用中的关键技术问题

随着我国隧道建设的大发展,面临的复杂地质和环境问题以及劳动力紧张问题也越来越突出。预切槽法是一种独特的施工技术,是介于浅埋暗挖法和盾构法之间的一种方法,它和浅埋暗挖法配合可以形成复杂地质和地面环境下的新型隧道施工技术。采用此法可大大提高施工的机械化水平,同时可有效地控制地表沉降。文章论述了预切槽工法的机械组成、控制地层变形的基本原理以及应用中的关键技术问题,相信这种工法必将以其良好的控制地层变形能力和灵活性重新得到重视。     

基岩完整隧道衬砌环向裂缝成因分析及其防治措施

文章通过向莆铁路线七座完整基岩隧道二次衬砌环向裂缝的统计,对隧道衬砌开裂的原因进行了综合分析,阐述了混凝土结构裂缝的危害大小程度,以及设计及施工管理过程中对衬砌裂缝的控制途径,并对此提出了相应的处理措施和建议.     

A shockwave profile model for traffic flow on congested urban arterials

In this paper a new traffic flow model for congested arterial networks, named shockwave profile model (SPM), is presented. Taking advantage of the fact that traffic states within a congested link can be simplified as free-flow, saturated, and jammed conditions, SPM simulates traffic dynamics by analytically deriving the trajectories of four major shockwaves: queuing, discharge, departure, and compression waves. Unlike conventional macroscopic models, in which space is often discretized into small cells for numerical solutions, SPM treats each homogeneous road segment with constant capacity as a section; and the queuing dynamics within each section are described by tracing the shockwave fronts. SPM is particularly suitable for simulating traffic flow on congested signalized arterials especially with queue spillover problems, where the steady-state periodic pattern of queue build-up and dissipation process may break down. Depending on when and where spillover occurs along a signalized arterial, a large number of queuing patterns may be possible. Therefore it becomes difficult to apply the conventional approach directly to track shockwave fronts. To overcome this difficulty, a novel approach is proposed as part of the SPM, in which queue spillover is treated as either extending a red phase or creating new smaller cycles, so that the analytical solutions for tracing the shockwave fronts can be easily applied. Since only the essential features of arterial traffic flow, i.e., queue build-up and dissipation, are considered, SPM significantly reduces the computational load and improves the numerical efficiency. We further validated SPM using real-world traffic signal data collected from a major arterial in the Twin Cities. The results clearly demonstrate the effectiveness and accuracy of the model. We expect that in the future this model can be applied in a number of real-time applications such as arterial performance prediction and signal optimization.