岩爆灾害研究与进展

为阐明岩爆机理,减少岩爆灾害,对岩爆的定义、分类、研究方法、特征、形成条件、预测方法及防治措施进行了系统的阐述。在前人工作的基础上,结合国内外已有的工程实例,对岩爆的时空特征和发生部位的岩性特征进行了剖析,对已有的岩爆研究方法和预测方法进行了合理分类和简要介绍,指出了部分研究方法的不足之处和预测工作的发展趋势。综合现有研究表明:岩爆分类采用的标准各有不同,其研究方法还具有改进的空间;适用于大部分工程的岩爆预测方法仍在探索和完善中;有效的岩爆防治措施有待进一步研究和优化。     

隧道爆破荷载作用下中隔壁动力响应与破坏机理研究

中隔壁结构作为隧道初期支护体系中重要的承载构件,在隧道爆破荷载作用下极易发生损伤开裂和破坏。首先依托双向八车道的港沟高速公路隧道工程,进行爆破荷载作用下中隔壁的动力损伤破坏试验,提出中隔壁支护结构的破坏形态及类型;然后利用ANSYS/LS-DYNA建立隧道爆破与中隔壁支护结构数值模型,采用流固耦合的方法模拟岩体爆破及中隔壁支护结构的动力响应,并考虑单段装药量、爆距等不同因素,研究其对中隔壁破坏模式及形态的影响。研究结果表明：隧道爆破荷载作用下中隔壁破坏形式分为背爆侧混凝土开裂剥落、中心区域混凝土震塌成洞、钢筋网及纵向连接钢筋震坏断裂、钢拱架发生扭曲变形4种类型;中隔壁支护结构在爆破应力波的作用下处于反复拉压状态,并在岩石破碎抛掷冲击的作用下发生破坏,且中隔壁支护结构中心、顶部和底部是结构最易发生损伤的部位;单段装药量和爆距的改变会对中隔壁支护结构的破坏范围和破坏程度产生影响,且结构呈现出不同的破坏形态,与现场试验结果一致;建议隧道爆破施工时爆距控制在40 cm以上,单段药量控制在7.2 kg以下,以减少对中隔壁支护结构的破坏。     

浆体流变特性对透水混凝土性能的影响

为研究浆体流变特性对透水混凝土力学与透水性能的影响规律,通过减水剂与增黏剂掺量的变化调配出5种不同流动度及6种不同塑性黏度的水泥浆体,并固定浆集比配置出对应的透水混凝土。采用光学显微镜图像分析透水混凝土中骨料颗粒表面浆体裹附层厚度,以水泥浆体的拉拔黏结强度表征浆体与骨料的黏结强度,在研究浆体流动度及塑性黏度对浆体拉拔黏结强度、骨料颗粒表面浆体包裹层厚度影响的基础上,进一步探讨了浆体流变特性对透水混凝土抗压、抗折强度、空隙率以及透水系数的影响规律,揭示出浆体流动度与塑性黏度对透水混凝土力学与透水性能的作用原理。研究结果表明：随着浆体流动度及塑性黏度的增加,透水混凝土力学性能呈现先提高后降低的趋势,而透水混凝土的透水系数则随着浆体流动度的增加逐渐降低,随着浆体塑性黏度的增加逐渐增加;结合浆体流变性能对浆体自身拉拔黏结强度及骨料颗粒表面浆体包裹层厚度的影响发现,浆体流变特性主要通过影响浆体自身黏结特性而作用于透水混凝土力学性能,通过影响骨料颗粒表面浆体包裹层厚度及其分布状态而作用于透水混凝土的透水性能;在进行透水混凝土配合比设计时,可以通过调控浆体的流变特性,达到兼顾透水混凝土力学性能与透水性能的目的。     

BRT专用车道站台段钢桥面铺装的一种解决方案

BRT专用车道的定点停车位作为铺装的薄弱点,若铺装层的高温动稳定性不足将造成该处形成剪切推移、车辙等病害。以贵阳市中环路为背景,对BRT专用车道站台段钢桥面铺装的四个方案进行比选,并选取热拌式沥青混凝土作为实施方案,经验证效果良好,可为国内外的类似工程提供参考。     

"盖挖法"在近接既有建筑物的大跨隧道施工中的应用

针对大跨隧道洞口段埋深浅、邻近既有建筑物的工程特点,在国内外研究成果的基础上,对近接施工影响程度及范围进行了分析,并对各施工方案进行详细比选.结果表明,"盖挖法"不但能克服传统方法带来的各种不利因素,而且能够确保隧道的施工进度和既有建筑物的安全,同时可减少对洞口生态环境的破坏,是最佳的近接施工方案.     

南京纬三路长江隧道总体设计的关键技术研究

文章根据南京纬三路长江隧道的建设条件,对工程总体设计中的几个难点问题及解决方案进行了研究与介绍,其中通过双管双层盾构隧道X型地下布线方案实现交叉道路的互通疏解,以及在双层盾构隧道内设置上下层共用排烟道的布置方式均为国内外首次采用.这两项新技术的应用不仅合理解决了本工程的总体设计难题,而且极大地提高了隧道逃生救援的及时性和便捷性,对类似工程有一定的借鉴作用.     

某悬索桥加固设计与计算

＂吊拉组合体系＂法是加固悬索桥的有效方法之一。文章以某悬索桥加固工程为例,通过对该桥技术和病害状况的分析,提出了基于＂吊拉组合体系＂法的加固设计方案与结构计算方法,并介绍了相应的施工工艺。     

Second best toll and capacity optimisation in networks: solution algorithm and policy implications

This paper looks at the first and second best jointly optimal toll and road capacity investment problems from both policy and technical oriented perspectives. On the technical side, the paper investigates the applicability of the constraint cutting algorithm for solving the second best problem under elastic demand which is formulated as a bilevel programming problem. The approach is shown to perform well despite several problems encountered by our previous work in Shepherd and Sumalee (Netw. Spat. Econ., 4(2): 161–179, 2004). The paper then applies the algorithm to a small sized network to investigate the policy implications of the first and second best cases. This policy analysis demonstrates that the joint first best structure is to invest in the most direct routes while reducing capacities elsewhere. Whilst unrealistic this acts as a useful benchmark. The results also show that certain second best policies can achieve a high proportion of the first best benefits while in general generating a revenue surplus. We also show that unless costs of capacity are known to be low then second best tolls will be affected and so should be analysed in conjunction with investments in the network.

Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting

With the recent increase in the deployment of ITS technologies in urban areas throughout the world, traffic management centers have the ability to obtain and archive large amounts of data on the traffic system. These data can be used to estimate current conditions and predict future conditions on the roadway network. A general solution methodology for identifying the optimal aggregation interval sizes for four scenarios is proposed in this article: (1) link travel time estimation, (2) corridor/route travel time estimation, (3) link travel time forecasting, and (4) corridor/route travel time forecasting. The methodology explicitly considers traffic dynamics and frequency of observations. A formulation based on mean square error (MSE) is developed for each of the scenarios and interpreted from a traffic flow perspective. The methodology for estimating the optimal aggregation size is based on (1) the tradeoff between the estimated mean square error of prediction and the variance of the predictor, (2) the differences between estimation and forecasting, and (3) the direct consideration of the correlation between link travel time for corridor/route estimation and forecasting. The proposed methods are demonstrated using travel time data from Houston, Texas, that were collected as part of the automatic vehicle identification (AVI) system of the Houston Transtar system. It was found that the optimal aggregation size is a function of the application and traffic condition.

Regulation of the informal transport sector in Rio de Janeiro,Brazil: welfare impacts and policy analysis

In Brazil, the explosion of informal transport activity during the past decade has had profound effects on formal public transport systems and is a source of great controversy in the urban transportation sector. A variety of policies have been proposed to manage the growth of the sector. This study seeks to understand how proposed policies will impact the users of these systems. A corridor in Rio de Janeiro with substantial informal activity was used as a case study. Measures of welfare changes in a discrete choice framework were used to estimate proposed policies’ impacts on users. Eleven candidate policies were evaluated, ranging from the eradication of the informal modes and investment in formal modes, to the legalization of the informal modes. Benefits were compared with costs and the distribution of benefits across income classes was explored. Net benefits from some policies were found to be substantial. Legalizing the informal sector was found to benefit users slightly but further investments in the sector are probably inefficient. Users benefited most from improvements in formal mass transit modes, at roughly 100–200 dollars per commuter per year. Finally, policies to foster a competitive environment for the delivery of both informal and formal services were shown to benefit users about 100 dollars per commuter per year. Together, the regulation of the informal sector and investments in the formal sector serve to reinforce the movement towards competitive concessions for services and help reduce the impacts of cartelization and costly in-road competition.