膨胀性地层铁路隧道衬砌结构及防排水措施优化建议

结合膨胀性地层铁路隧道病害概况以及单、双线铁路隧道断面、防排水设计现状,提出相应的衬砌结构及防排水措施优化建议。衬砌结构的优化建议如下:对单线隧道而言,适当增大其边墙曲率、仰拱矢跨比,提高边墙、仰拱的强度和刚度;对双线隧道而言,适当增大其仰拱矢跨比,提高仰拱的强度和刚度;隧道仰拱处二次衬砌应采用钢筋混凝土,同时在隧道仰拱填充中增设格栅钢架或在隧道仰拱填充顶部增设钢筋。防排水措施的优化建议如下:将设置在仰拱填充内的中心水沟下移至仰拱下方,在仰拱下方设中心水沟或改设为排水渗沟,可将隧道衬砌背后积水均引入仰拱下方的中心水沟排出洞外;而改设的中心渗沟主要用于排出仰拱下方积水。     

基于广义费用函数的城际铁路分时定价策略研究

随着我国城市群的发展,区域内部各城市之间的客流需求不断增长,城际铁路作为城市间出行的主要方式,客流在高峰、低谷时段具有明显的不均衡性。为了更加平稳有序地提供高质量服务,充分发挥票价调节供需匹配关系的作用,对城际铁路分时定价策略进行研究,构建不同时刻、不同运输方式的旅客出行广义费用函数,建立双层规划模型,优化不同时段城际铁路票价,并结合Frank-Wolfe算法和带有惯性权重的粒子群算法,求解双层规划模型。最后,以京津城际铁路为例,验证了分时定价策略可以使客流分布更加均衡,并提高铁路运输部门收益。     

越南某电厂新建煤码头排水系统设计方案优化

越南某燃煤电厂为满足当地电力的发展需求,拟对电厂进行扩建,并新建煤码头及输煤系统。针对外方提供的新建煤码头排水系统设计方案,从技术和经济角度展开全面分析,指出外方设计的排水系统存在的不足。结合国内煤码头排水系统的习惯做法,通过对比分析,对外方设计的排水系统进行优化,以满足码头区域雨水和冲洗废水“零排放”的环保要求。     

中压直流综合电力系统燃油经济性调度策略

由于研究对象、运行要求和调控手段存在差异,陆用电力系统和传统船用电力系统的燃油经济性策略无法直接应用到中压直流综合电力系统中。针对中压直流综合电力系统的能量优化调控需求,建立综合电力系统燃油经济性调度模型,提出基于分层优化方法的系统燃油经济性调度优化算法,实现对整流发电机组出力的优化。同时,提出适用于中压直流综合电力系统燃油经济性优化调度的方法,实现对发电机出力的优化调度,并通过仿真试验验证该方法的有效性。     

How the environmental impact affects the design of logistics networks based on cost minimization

The degree of centralization of the logistics network is one of the important strategic decisions to take. This issue has often been studied but mainly from a cost minimization focus. This research studies the influence of incorporating the environmental impact in logistics network design models, comparing the results with those obtained considering cost minimization only. A fuzzy biobjective optimization model is used to carry out a number of experiments. By weighting the relative importance of the two objectives, the differences with respect to the base cost minimization solution can be ascertained. Our results show that in general more material is moved through warehouses when the environmental impact is considered and more decentralized facilities are opened.     

近岸深水联排灌注桩施工工艺优化

采用传统的冲孔灌注桩施工工艺进行海上灌注桩施工时,往往会面临适用条件限制、环境污染、施工成本增加等问题。针对三亚凤凰岛项目海上冲孔灌注桩施工特点,介绍通过优化钢平台结构形式及布局设计、泥浆循环系统优化设计、结构稳定性计算、"四新设备"创新应用等措施,有效降低施工成本、提高施工效率、减少环境污染、提高施工质量。结果表明采取的工艺优化和平台改进措施效果良好、实用性强。     

宽浅河道低水头水电枢纽口门区通航水流条件研究

根据重力相似准则,采用比尺为1∶100的整体模型,进行某宽浅河道低水头水电枢纽口门区的通航安全性研究。采用ADV三维流速测量系统进行流速测量;采用标准矩形量水堰控制模型流量;采用差动式尾门调节模型水位。由于河道地形及枢纽布置的原因,上游口门区流速过大,下游口门区形成大范围回流。通过扩大河道过流面积,移除下游河道中心连续小岛,增加闸孔等措施,减小下泄水流流速,改善河道整体水流状态;通过加长导航墙,改变导航墙透水面积,优化口门区域地形等措施极大地改善了船闸上下游引航道及口门区通航水流条件,确保过闸船舶的安全。     

Methods to reduce dimensionality and identify candidate solutions in multi-objective signal timing problems

Adjusting traffic signal timings is a practical way for agencies to manage urban traffic without the need for significant infrastructure investments. Signal timings are generally selected to minimize the total control delay vehicles experience at an intersection, particularly when the intersection is isolated or undersaturated. However, in practice, there are many other potential objectives that might be considered in signal timing design, including: total passenger delay, pedestrian delays, delay inequity among competing movements, total number of stopping maneuvers, among others. These objectives do not tend to share the same relationships with signal timing plans and some of these objectives may be in direct conflict. The research proposes the use of a new multi-objective optimization (MOO) visualization technique—the mosaic plot—to easily quantify and identify significant tradeoffs between competing objectives using the set of Pareto optimal solutions that are normally provided by MOO algorithms. Using this tool, methods are also proposed to identify and remove potentially redundant or unnecessary objectives that do not have any significant tradeoffs with others in an effort to reduce problem dimensionality. Since MOO procedures will still be needed if more than one objective remains and MOO algorithms generally provide a set of candidate solutions instead of a single final solution, two methods are proposed to rank the set of Pareto optimal solutions based on how well they balance between the competing objectives to provide a final recommendation. These methods rely on converting the objectives to dimensionless values based on the optimal value for each specific objectives, which allows for direct comparison between and weighting of each. The proposed methods are demonstrated using a simple numerical example of an undersaturated intersection where all objectives can be analytically obtained. However, they can be readily applied to other signal timing problems where objectives can be obtained using simulation outputs to help identify the signal timing plan that provides the most reasonable tradeoff between competing objectives.