基于VBA的船舶交互式智能分舱方法

船舶分舱及舱室数据的生成是船舶稳性计算的前提.文章在AutoCAD2002环境下,采用VBA工具和ActiveX技术,对船体的交互式智能化分舱方法进行研究,实现了船体的自动交互式分舱、舱室分舱概图自动绘制,同时得了到舱室定义文件.该方法可以快速得到多个分舱方案,同时生成相应的舱室数据,为后续的稳性计算及评价提供基础,也进一步提高分舱设计与稳性计算的智能化水平.     

川江及三峡库区变吃水干散货船的优化论证

川江及三峡库区航道水深季节性变化大,为了充分利用水深条件,船舶多采用变吃水设计,船舶航行时载况的变化会引起主机、螺旋桨的工况发生变化,因而船舶营运经济性的计算有别于常规船舶,对船舶营运经济计算中载货量、航速及经济参数进行分析,实例计算结果令人满意。     

集装箱多式联运系统的协同模型

集装箱多式联运系统是一个由多种运输方式构成,每种运输方式又自成体系的复杂系统。采用系统科学的方法,分析了集装箱多式联运系统的结构和协同学特征,并运用协同学理论,构建了以系统综合运输能力为序参量的国际集装箱多式联运协同发展方程。研究表明,随着控制变量逐渐变化,系统的定常态从稳定点变为不稳定点,系统发生结构变化。     

港口大发展海事有作为 --河北海事局共建曹妃甸"安全、畅通、文明"航区活动启动

曹妃甸港区和工业区的建设如火如荼，港区的面貌日新月异。目前25万吨级矿石码头已经开航，70多公里通岛道路已全线贯通，供电、供水工程基本完工，固定电话和宽带业务已经开通，码头、钢铁、电能项目建设全面铺开。     

混凝土联锁块机械化生产及蒸汽养护技术

针对混凝土联锁块现有预制工艺机械化程度低,施工质量受人为和天气影响较大而无法满足大规模生产需求的问题,进行混凝土联锁块机械化生产及蒸汽养护关键技术研究,通过对各生产环节进行机械化改进和采用蒸汽养护技术,并使各工序高效合理衔接,研制出一整套混凝土联锁块机械化生产工艺。新型生产工艺相对于传统工艺,不仅大幅提高了施工质量及生产效率,同时节省了人工成本,而且由于整个生产过程均可在厂房内完成,节省场地且不受恶劣天气影响,降低成本并缩短工期,能够适应施工中混凝土联锁块大规模生产的需求。     

The planning of aircraft routes and flight frequencies in an airline network operations

This research is aimed at developing a model that maximizes system profit when determining the aircraft routes and flight frequencies in a network. The model employs network flow techniques to effectively collect or deliver passenger flows from all origins to all destinations using non‐stop and multi‐stop flights in multi‐fleet operations. The model was formulated as a multi‐commodity network flow problem. A Lagrangian‐based algorithm was developed to solve the problem. To test the model in practice, a case study is presented.     

The speed control effect of highway tunnel sidewall markings based on color and temporal frequency

The low‐luminance monotonous environment in the middle section of highway tunnels offers few reference points and is prone to cause severe visual illusion. Thus, drivers tend to underestimate their driving speed, which can induce speeding behaviors that result in rear‐end collisions. Therefore, discovering low‐cost methods of traffic engineering that reduce this visual illusion and ensure a steady driving speed is an important challenge for current highway tunnel operations. This study analyzes the effects of sidewall markings in typical highway tunnels, specifically observing how their colors and temporal frequencies affect the driver's speed perception in a low‐luminance condition. A three‐dimensional model of the middle section of highway tunnels was built in a driving simulator. Psychophysical tests of speed perception were carried out by the method of limits. The precision of the simulation model was then checked by comparing the results to field test data. The simulation tests studied the stimulus of subjectively equal speed and reaction time in relation to sidewall markings in different colors (red–white combined, yellow–white combined, and blue–white combined). Furthermore, based on the optimal color, the effects of sidewall marking with different temporal frequencies (0.4, 0.8, 1.2, 2, 4, 8, 12, 16, and 32 Hz) on the speed perception of drivers were also analyzed. The test results reveal that the color and temporal frequency of sidewall marking have a significant impact on the driver's stimulus of subjectively equal speed and reaction time. The subjects have the highest speed overestimation and an easy speed judgment with the red–white combined sidewall marking. Within the temporal frequency range of 4.45–7.01 Hz, the subjects have a certain degree of speed overestimation (less than 20%), and the speed perception is sensitive to the temporal frequency changes. Copyright © 2016 John Wiley & Sons, Ltd.     

沉管隧道地震响应分析

文章采用田村重四郎和冈本舜三提出的沉埋隧道地震响应分析的数学模型,对南京长江越江隧道(沉管段)方案进行了地震响应的纵向受力分析。分析中采用了隧址处100年超越概率为2%的人工合成地震加速度,考虑了不同管段的联结方式和不同的计算参数,对初步设计中沉管段结构的安全性进行了论证,所提供的数据曾为设计单位所采纳[1]。     

海底单层保温管线总传热系数分析

总传热系数K是海底热油管道的运行管理中的一个非常关键的参数.文中通过对中海油涠洲11 -1油田至涠洲12 -1油田之间的海底管道总传热系数进行理论计算,并与投产前根据实际预热数据反算的总传热系数进行对比,得出理论计算的总传热系数与实际预热反算得到的总传热系数相近,同时指出海管接口的散热损失较大,海底管线应对接口部分进行...     

基于高斯过程机器学习方法的隧道围岩分类模型

针对现有围岩分类方法的局限性,基于工程实例,利用分类性能优异的高斯过程机器学习模型建立围岩类别与其主要影响因素之间的非线性映射关系,进而提出一种基于高斯过程的隧道围岩分类模型,实现不同情况下围岩分类的合理识别.将该模型应用于川藏公路二郎山隧道围岩分类,研究结果表明,隧道围岩分类的高斯过程机器学习模型是科学可行的,与人工神经网络模型、支持向量机模型相比较,该模型具有参数自适应化的优点,能方便快捷地给出合理可靠且具有概率意义的围岩分类评价结果,可对围岩分类结果的不确定性或可信度进行定量化评价.