Global cutting-path optimization considering the minimum heat effect with microgenetic algorithms

This article considers microgenetic algorithms (GAs), which explore in a small population with a few genetic operators, for cutting-path optimization problems. The major difference between GAs and simple genetic algorithms (SGAs) is how to make a reproductive plan for an improved searching technique because of population choice. It is shown that GAs implementation reaches the near-optimal region much earlier than the SGAs approach, and the GAs give a better solution than simulated annealing (SA). The main objective was to determine what temperature distribution can be obtained from the solution of a travelling distributed heat source. The solution of the travelling heat source on nested raw plate provides information about the vertices of each nested part of the raw plate. From the fact that the initial temperature at a piercing point strongly depends on the heat flow which stems from the previous cutting contour, the temperature of all piercing points must be lower than the critical temperature after each cutting of the components of a part. The critical temperature is identified as the mechanical melting temperature of steels. A heuristic back-tracking method is introduced to find the near-optimum cutting path considering the minimum heat effect on deformation. The heuristic back-tracking method is incorporated with the GAs.     

The impacts of changing flight demands and throughput performance on airport delays through the Great Recession

Several significant events between 2007 and 2009 impacted flight demands and the abilities of the three major New York area airports to handle demand. This paper assesses the results of applying a probabilistic simulation method – which isolates the individual contributions of changes in flight demand and changes in airport throughput performance to changes in flight delays – to diagnose how these different events may have caused operational changes at these airports, and in turn, how the results may be used to inform policies for appropriate countermeasures. The analysis revealed two key observations. Firstly, certain patterns in throughput performance shifts caused the most significant delays, and were more likely to have been caused by controller staffing issues rather than caps. Secondly, relatively constant average delays from one year to the next may result from significant demand drops accompanied by large throughput performance degradations at an airport. This suggests that not only operational limitations on capacity encourage airlines to reduce schedules, but that changed demands can also impact throughput performance. Overall, the analysis indicates that caps may not have provided their fully intended delay benefits. Although they successfully reduced overall flight demands at LGA and JFK, they also directly limited throughput performance at critical times, in turn limiting delay benefits. In addition, demands at the busiest times of the day appear to be relatively inelastic to these operational limitations, insofar as demand profiles at EWR and JFK remained “peaky” in 2008 and 2009. Also, the recession was largely responsible for reducing demands at the airports in 2009, but the delay benefits of this were dampened by a corresponding throughput performance degradation. Based on the above observations, a more direct demand management policy combined with policies that focus on maintaining high staffing capabilities at critical times of the day may be considered, to reduce the likelihood of major queue formation on days that do experience sustained demands. The results also suggest that a more flexible caps system, particularly during times of heavy queues, could be explored. Although airport practitioners have keen understandings of how their airports operate, without the support of quantitative analysis tools, it can be more difficult to argue the need for appropriate countermeasures. An analysis such as the one presented here can provide the detailed quantitative substantiation required to build cases for these targeted policy directives and infrastructure investments.     

基于分布式压密传感器的隧道衬砌防脱空主动监测

为解决二次衬砌脱空的问题，实现在浇筑过程中对衬砌脱空的主动监测，结合隧道二次衬砌衬背脱空的成因，研发基于分布式压密传感器的隧道衬砌脱空主动监测系统。该系统由分布式压密传感带、延长线、直显终端及工业电脑组成，具有原理简单、安装便捷等优点。通过在衬砌层间预埋分布式压密传感器，对浇筑过程进行主动监测，结合带模注浆技术，实现对衬砌脱空的精准注浆与快速处治，有效解决隧道衬砌脱空问题。在验证试验中，系统在浇筑过程中共发现2处拱顶空洞，证明该系统对脱空监测的有效性。同时，该系统在国内部分重点铁路线已经取得应用，现场应用情况表明，该系统对二次衬砌拱顶脱空的识别准确率可达到95.5%。     

新型分布式振动阻尼器的理论和实验研究

研究了分布式振动阻尼器，在理论分析的基础上，对其宽带阻尼放大作用进行了理论计算和多 方案的实验验证，理论计算和模型试验的结果进一步说明了分布式振动阻尼器相对于传统的集中式阻 尼器而言，能大大增加振动能量的耗散，具有进一步减振的优点。     

系统效能通用评估工具研究

基于数据库和算法集成,设计了一套具有良好通用性、灵活性、可扩展性的系统效能评估工具,并以此工具为基础,针对不同的评估需求、数据量和应用环境提出对应的解决方案.     

体现“湖北制造”经济特色的数控技术专业共享型教学资源库建设

探讨了立足"湖北制造"区域经济特色,依托先进资源管理平台,构建共享、开放型数控技术专业资源库的目标、思路、内容、步骤、规格等核心问题。提出了涵盖2个专业方向、针对15门核心课程、兼顾3个学习层次、打造7个特色模块,建设8种类型资源包、设计多种表现形式的资源库建设方案,以此推动专业建设和课程建设,满足教与学不同方面、多种层次的需求。     

中小型车站Smart2.0系统的方案与安全性分析

作者介绍了适合中小型车站Smart 2.0系统的一种可行方案,通过对该系统安全性的分析,该方案具有结构简单、安全可靠、节约投资等特点。     

故障树分析法在柴油机遥控系统电路故障诊断中的应用

应用故障树分析法对柴油机遥控系统进行定性分析,并很好的解决了知识库建立和知识获取的难题,保证了故障诊断的完整性和可靠性.成功的将故障定位到回路,解决了系统故障诊断的难点.     

基于NI CompactDAQ的轨道状态分布式在线监测系统

针对日益增加的城市轨道交通线路钢轨安全和减振降噪方面的需求,介绍一种基于NI Compact DAQ的轨道状态分布式在线监测系统。阐述了系统的基本组成、功能和软硬件总体设计。系统采用以NI Compact DAQ为核心的机箱,通过对关键路段不同站点间的振动、噪声、脱轨系数、钢轨动态位移、轨道结构沉降等动态参数进行实时在线监测,为实时掌握轨道动态参数建立一个开放式的监测平台。     

公路隧道运营典型风险辨识

为加强对公路隧道运营风险的辨识、改善和优化公路隧道运营安全，降低重大隧道事故对人员伤亡、隧道结构、设备和经济收益的损失，通过隧道事故调研和大数据技术，收集近些年在全国范围内发生的802起公路隧道事故，对公路隧道自身特性和隧道事故的时间、空间、类型、诱因等特征进行分析。研究结果表明： 1)外界因素对隧道事故影响较大，在高温和车流量较大的环境下，事故发生较多； 2)特长隧道和长隧道的事故数远高于短隧道和中隧道； 3)小型车是隧道内发生事故的主要车型，事故原因多是驾驶员违规驾驶，事故类型多为追尾事故； 4)火灾事故的诱因多为车辆自身故障，其中危化品泄露多为易燃液体泄露。