Integrating capacity analysis with high-speed railway timetabling: A minimum cycle time calculation model with flexible overtaking constraints and intelligent enumeration

Compared with most optimization methods for capacity evaluation, integrating capacity analysis with timetabling can reveal the types of train line plans and operating rules that have a positive influence on improving capacity utilization as well as yielding more accurate analyses. For most capacity analyses and cyclic timetabling methods, the cycle time is a constant (e.g., one or two hours). In this paper, we propose a minimum cycle time calculation (MCTC) model based on the periodic event scheduling problem (PESP) for a given train line plan, which is promising for macroscopic train timetabling and capacity analysis. In accordance with train operating rules, a non-collision constraint and a series of flexible overtaking constraints (FOCs) are constructed based on variations of the original binary variables in the PESP. Because of the complexity of the PESP, an iterative approximation (IA) method for integration with the CPLEX solver is proposed. Finally, two hypothetical cases are considered to analyze railway capacity, and several influencing factors are studied, including train regularity, train speed, line plan specifications (train stops), overtaking and train heterogeneity. The MCTC model and IA method are used to test a real-world case involving the timetable of the Beijing–Shanghai high-speed railway in China.     

基于价值工程的全生命周期趸船材质方案比选研究

将趸船整个生命周期过程中的技术先进性、经济合理性和环境协调性有机地融合为一体,基于价值工程理论提出趸船材质方法比选。实例表明在千岛湖这样的大吨位船舶碰撞概率很小的水域,采用混凝土趸船明显优于钢质趸船。     

Vehicle electrification in a developing country: Status and issue,from a well-to-wheel perspective

The increase of public attention, scientific research and political interest in environmental problems associated with transportation has provided the motivation for re-invention of electric vehicles. However the usage of grid-dependent EVs with a high-carbon electricity grid might produce more damage to the environment. This study aims to provide an environmental impact comparison of ICEVs, HEVs and EVs during their usage cycle, by modeling their energy consumption (electricity or fuel) and the supply chains of the supplied energy, (well-to-wheel) based on a life cycle assessment. The results show that running EVs with the existing mixed sources of electrical energy produce larger impacts on the environment 60% of the time; when compared to HEVs. When compared to ICEVs, EVs produce a larger environmental impact on 7 out of 15 environmental impact categories. Overall the environmental impacts of EVs are substantial based on the well-to-wheel analysis. It will continue to be so if no change is made to the methods of electricity generation in the near future. Given that the environmental profile of EVs is linked with the existing national electricity generation mix, the national electricity supply must be made cleaner before the electrification of the urban transport system.     

Cost scaling based successive approximation algorithm for the traffic assignment problem

This paper presents a cost scaling based successive approximation algorithm, called ε-BA (ε-optimal bush algorithm), to solve the user equilibrium traffic assignment problem by successively refining ε-optimal flows. As ε reduces to zero, the user equilibrium solution is reached. The proposed method is a variant of bush-based algorithms, and also a variant of the min-mean cycle algorithm to solve the min-cost flow by successive approximation. In ε-BA, the restricted master problem, implying traffic equilibration restricted on a bush, is solved to ε-optimality by cost scaling before bush reconstruction. We show that ε-BA can reduce the number of flow operations substantially in contrast to Dial’s Algorithm B, as the former operates flows on a set of deliberately selected cycles whose mean values are sufficiently small. Further, the bushes can be constructed effectively even if the restricted master problem is not solved to a high level of convergence, by leveraging the ε-optimality condition. As a result, the algorithm can solve a highly precise solution with faster convergence on large-scale networks compared to our implementation of Dial’s Algorithm B.     

基于发动机台架考核方法的气缸盖高周疲劳特性研究

依据发动机台架考核规范,运用疲劳强度理论,对某铸铁气缸盖进行高周疲劳强度评估。明确温度和应力随考核工况改变的变化行为,研究气缸盖各区域受工作载荷的影响状况,为缸盖寿命评估模型提供载荷边界。结合疲劳理论,在考虑材料修正的基础上进行了疲劳特性分析和损伤状况分析。分析表明,气缸盖各区域的疲劳安全系数均大于1,视为安全,但冷却钻孔区域的安全裕度较小。     

大极差情况下载荷试验承载力取值计算

对于载荷试验的大极差,各种规范没有给出统一的规定,试验数据的处理比较随便,造成不经济或不安全。当极差大于30%平均值或最大值与最小值之比大于1.3时,承载力取值可采用离群值剔除法、变异系数折减法确定。案例计算分析表明,给出的计算公式合理、计算简单方便,可用于各种载荷试验确定承载力。     

大圆筒防波堤水平和竖向荷载共同作用下承载力数值模拟

大圆筒防波堤服役过程中受到水平荷载和竖向荷载的复合作用,并且不同的大圆筒结构因为直径及入土深度的不同,对水平荷载和竖向荷载复合作用的承载力也不同。采用Swipe加载模式,基于位移加载控制模式数值模拟了不同入土深度与直径比的薄壁大圆筒结构的承载力。计算结果表明:随着入土深度的增加,水平方向承载力线性增大,竖向承载力先期增速较大,后趋于稳定;当入土深度较小时,大圆筒薄壁结构两侧地基出现塑性贯通区,当入土深度较大时,两侧的塑性贯通区变为一侧出现;地基破坏时的水平和竖向荷载共同作用下承载力包络线呈外凸的椭圆形,随着大圆筒结构入土深度的增加,椭圆的半径增大;归一化的极限承载力变化趋势相同,得到偏于安全的承载力破坏包络线方程。     

新型发电机组负载测试兼码头供电双向变频电源

随着舰船朝大型化、自动化方向发展,舰船的发电机组数量和容量也急剧增大。为保证船舶的安全运营,船级社规范要求对发电机组进行负载试验和并联运行试验。新型发电机组负载测试兼码头供电双向变频电源不仅可用于船舶的发电机组负载测试试验,同时还可实现电能的回收利用,作为变频电源向系泊试验船舶提供电能,减少对船厂周围环境造成的污染,具有较好的经济效益和社会效益。     

半潜式钻井平台用钢DH36安定行为试验研究

为了给半潜式钻井平台的安全性和寿命评价提供可靠试验依据,在室温下对半潜式钻井平台用钢DH36钢进行了考虑加载波形、加载速率和应力比影响的多工况单轴棘轮安定试验。结果表明:循环硬化速率随循环周次的增加快速下降,在低于某一值的循环应力作用下,应变将最终趋于棘轮饱和状态;正弦应力波比三角波更快地趋于安定,采用较低的加载速率可以加速材料趋向饱和棘轮状态;峰值应力固定不变时,棘轮应变对应力比历史无明显的记忆性;波形和加载速率对饱和棘轮应变的影响有限,饱和棘轮应变随着应力峰值的增加而增大。     

大口径舰炮制导炮弹装填方式

介绍制导炮弹发展及其典型结构,对国内外制导炮弹在大口径舰炮上的应用进行介绍,并根据大口径舰炮使用制导炮弹的特殊性,对分装式制导炮弹的装填方式进行探讨,从易装性、安全性、对射速的影响以及多弹种兼容性等方面进行优劣分析,并提出几种可行性建议。