北京地铁深基坑支护结构设计优化与施工

北京地铁9号线军事博物馆站北换乘厅南侧紧邻复兴路和既有1号线,附近管线众多,周边环境复杂,对地层扰动影响较高,地层中下部以黏土岩、砾岩为主,整体稳定性较好,原设计方案采取咬合桩止水及基坑底部换撑等加强措施。在保证施工安全的前提下,为了合理缩短工期、减少造价,结合实际工程经验对原设计方案进行了优化。和原设计方案相比,优化设计方案取消了咬合桩及换撑,对第4道支撑位置进行了调整,并更换了防水材料。同时,采用北京理正深基坑分析软件对优化设计前后的基坑开挖情况进行了对比分析。最后,在按优化设计方案施工的过程中进行严密的监控量测,并对监测数据进行了分析。最终给出以下建议:1)深基坑支护尽量不采取换撑的方式;2)设计方案要结合实际情况进行动态设计,要以软件计算作为参考依据;3)在基坑开挖过程中要进行严密的监控量测,并重视数据反馈。     

基于UML的引俄潜艇技术保障信息系统分析

应用先进保障机制和信息化保障手段有机结合的方法,通过深入调查当前引俄潜艇技术保障存在的实际问题,对引俄潜艇技术保障中的主要要素进行简要分析,运用统一建模语言(UML)完成了信息系统的分析。通过系统应用提高了引俄潜艇的技术保障能力,提升了该类装备作战能力,并呈现军事经济效益。     

舰船中央冷却系统管路流动仿真分析研究

舰船中央冷却系统是一个大型的、复杂的流体网络系统.采用流体系统仿真软件FLOWMASTER对舰船中央冷却系统建立仿真模型,进行稳态和动态工况的计算.通过稳态工况计算验证舰船中央冷却系统设计的合理性,并在此基础上模拟变工况下中央冷却系统管路参数的动态变化特性.仿真模型计算了一些实船调试中可能出现的情况,为实船中央冷却系统的调试指明了方向,确保高效、可靠、顺利地完成调试工作.     

洋流作用下悬浮隧道动力学行为试验研究

本研究根据相似准则和试验条件设计试验模型。在试验模拟的1节悬浮隧道管段上分别布置2组和3组锚索支撑,测试在不同流速条件下,悬浮隧道管体结构的环向应变、轴向应变及张力腿锚索的轴力。根据试验结果,初步分析悬浮隧道应力的空间分布特征和张力腿的轴力情况;给出在相同环境条件下,张力腿锚索数量对结构应力的影响、洋流速度对悬浮隧道管段结构变形和张力腿轴力的影响关系等。     

油田内部热油管道最佳操作参数的快速确定

由于油田内部热油管道操作参数上的不合理,给油田生产造成了不必要的能量损耗。利用管道分段的方法,通过热力和水力计算,生成出站参数曲线图,方便快捷的为油田内部的热油管道确定最佳的出站（管道起点）加热温度和出站压力,减少能源的浪费。计算中,考虑了流量、含水量、黏度变化等因素,为流量和含水量不断变化的油田内部加热输油管道的优化运行提供参考。     

A new composite decision support framework for strategic and sustainable transport appraisals

This paper concerns the development of a new decision support framework for the appraisal of transport infrastructure projects. In such appraisals there will often be a need for including both conventional transport impacts as well as criteria of a more strategic and/or sustainable character. The proposed framework is based on the use of cost-benefit analysis featuring feasibility risk assessment in combination with multi-criteria decision analysis and is supported by the concept of decision conferencing. The framework is applied for a transport related case study dealing with the complex decision problem of determining the most attractive alternative for a new fixed link between Denmark and Sweden – the so-called HH-connection. Applying the framework to the case study made it possible to address the decision problem from an economic, a strategic, and a sustainable point of view simultaneously. The outcome of the case study demonstrates the decision making framework as a valuable decision support system (DSS), and it is concluded that appraisals of transport projects can be effectively supported by the use of the DSS. Finally, perspectives of the future modelling work are given.     

船坞超高型管柱支撑设计

阐述了船坞超高型管柱支撑的设计。提出了船坞区域搭载时管子支撑与外板3种连接形式下的支撑设计允许承载力的理论计算，并对目前船坞使用的φ426mm×14mm和φ500mm×18mm两种管子进行计算分析。改进了撑管的底部支撑，提高了超高型管子支撑的使用效果和安全性。     

舰船物资转运方案计算机辅助决策算法研究

瞬息万变的现代战场对大中型水面战斗舰船甲板物资转运的效率提出越来越高的要求。引入计算机辅助决策技术,在考虑多种牵制因素的情况下,快速获得最优的物资转运方案。详细分析和阐述舰船物资转运线路规划、时间计算、作业排序以及资源配班等4个主要问题的计算机解决方法,为利用计算机辅助制定最优物资转运方案提供可行途径。     

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

Short-term forecasting of high-speed rail (HSR) passenger flow provides daily ridership estimates that account for day-to-day demand variations in the near future (e.g., next week, next month). It is one of the most critical tasks in high-speed passenger rail planning, operational decision-making and dynamic operation adjustment. An accurate short-term HSR demand prediction provides a basis for effective rail revenue management. In this paper, a hybrid short-term demand forecasting approach is developed by combining the ensemble empirical mode decomposition (EEMD) and grey support vector machine (GSVM) models. There are three steps in this hybrid forecasting approach: (i) decompose short-term passenger flow data with noises into a number of intrinsic mode functions (IMFs) and a trend term; (ii) predict each IMF using GSVM calibrated by the particle swarm optimization (PSO); (iii) reconstruct the refined IMF components to produce the final predicted daily HSR passenger flow, where the PSO is also applied to achieve the optimal refactoring combination. This innovative hybrid approach is demonstrated with three typical origin–destination pairs along the Wuhan-Guangzhou HSR in China. Mean absolute percentage errors of the EEMD-GSVM predictions using testing sets are 6.7%, 5.1% and 6.5%, respectively, which are much lower than those of two existing forecasting approaches (support vector machine and autoregressive integrated moving average). Application results indicate that the proposed hybrid forecasting approach performs well in terms of prediction accuracy and is especially suitable for short-term HSR passenger flow forecasting.     

一个应用复合箱体结构传动箱的柴油发电机组设计

因运载车辆或其它条件限制,在某些情况下,柴油发电机组设计中需将发电机布置在柴油发动机的侧面,以减小机组在长度方向的尺寸。本文对该种布置方式的力学特性进行了分析,并从传动齿轮箱设计和柴油发电机组结构总成方面提出了合理的设计方案,产品经运行效果良好,证明具有使用价值。