泡沫轻质土在路桥衔接处路基处理中的应用

泡沫轻质土作为近年来常用的一种新型材料,具有轻质性、整体性、抗压性、耐久性、环保性等良好的工程特性。与传统填料相比,泡沫轻质土的抗压及高强特性,对工后沉降的控制更具优势。特别当采用泡沫轻质土对路桥衔接段路基进行处理时,可大幅降低填土荷重,减少工后沉降及影响深度。现结合工程实例,详细阐述了泡沫轻质土在路桥衔接处路基处理中,采用的主要设计技术指标、设计要点及施工要点,为该材料在工程领域推广应用提供参考。     

呼和浩特市西二环南延伸段快速化改造 总体方案研究

呼和浩特市西二环南延伸段(呼准公路)为呼和浩特市快速路"二横二纵"的其中"一纵",为城市西南角唯一快速路通道。对此进行快速化改造,能够更好地完善城市西南出口快速化功能,缓解中心城区交通压力。在分析改造项目建设背景及现状情况的基础上,根据其周边现状及规划情况,分段研究了总体布置形式及主要节点方案。     

基于体能消耗规律的游憩道路规划建设

随着当前社会经济的进步,我国旅游行业发展极为迅速,人们休闲意识的提升,旅游以及游憩活动在人们日常生活中逐步增多,而游憩作为人们旅游的重要组成内容,游憩道路必须结合人们体能消耗规律进行实时规划建设,虽然目前人类交通方式的多元化使得游憩活动空间障碍得以有效减少,但徒步游览仍是大部分观光型景区及游憩区的主要活动方式,这个过程中人们游憩道路过长,体能消耗所带来的疲劳感往往会导致其自身游览满意度降低,甚至对自身健康带来一定安全隐患,且老人和幼儿等特殊人群活动时间及活动方式有限,也使其对游憩道路要求更高。对基于体能消耗规律的游憩道路规划建设,进行分析探讨,并对其做相应整理和总结。     

市政给中水管道设计优化分析

市政给排水管道结构设计是一项关乎管道安全的重要设计,设计人员往往根据以往经验和常规做法进行管道设计,忽略了管道安全计算,这将直接影响城市市政道路给排水管道工程的质量。结合实际项目,对给水、中水管道的常规管材球墨铸铁管进行结构计算分析,并根据计算结果选择相应的措施,进一步完善市政管道设计,在满足设计规划、规范和要求的基础上,提高设计质量,确保城市道路市政给排水管道正常、高效地运行。     

威海双岛湾科技城一号桥主索鞍设计

根据以往国内大型悬索桥的设计经验,对威海双岛湾科技城一号桥主索鞍设计进行了探讨;并通过ANSYS进行有限元分析,对主索鞍座受力进行了分析。经过对计算结果的分析和比较发现,高应力区都集中在连接部位和接触部位,随着远离接触点,应力迅速下降。该次计算的应力结果较为均匀,基本满足规范要求。     

浅析高速公路机电系统的防雷保护

通过对高速公路机电系统雷害进行分析,提出了高速公路机电系统的防雷原则和具体措施,强调了系统性防雷的重要性。     

浅谈我国汽车零部件工业现状及发展策略

通过对当前零部件工业的分析,针对目前存在的诸多问题,提出一些建议,希望能对有关企业的战略发展,以及有关部门的宏观调控有所帮助。     

高速公路改扩建边坡工程的稳定性数值分析

针对某高速公路改扩建过程中对边坡工程的二次开挖卸荷的稳定性问题进行分析,采用有限元软件midas／gts对边坡的开挖支护过程进行模拟,得出了开挖边坡过程中的应力场变化规律,开挖同时应对边坡及时支护。并求得了支护后的边坡安全系数。     

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.

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.