基于本体框架的海军装备保障计划数据模型构建

为满足海军装备保障计划在保障单元间高效交流共享及自动化操作处理的要求,文章建立海军装备保障计划本体框架,对行动功能关联进行形式化表达,构建行动功能关联数据模型,形式化的阐述资源、能力以及它们之间的关联,扩展海军装备保障资源概念并构建资源数据模型。案例表达表明：行动功能关联和资源数据模型能够很好地表述装备保障行动序列、资源和能力。     

基于支持向量机回归树的内燃机振动信号趋势预测

针对标准回归树建立在统计分析基础上所存在的缺陷,提出一种基于支持向量机的回归树预测模型。首先,根据原始振动信号趋势序列构建回归树;然后,针对回归树上包含样本数过少的节点,利用支持向量机,建立能够反映重要变量与响应变量之间映射关系的回归模型。仿真结果表明:即便由于设备出现异常,导致振动信号趋势序列出现非平稳、突变情况,该方法也能准确地预测,性能优于标准分析方法,具有一定的工程实用性。     

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。     

基于支持向量机的装载机齿轮箱故障智能诊断研究

在分析现有齿轮箱故障诊断方法的基础上,提出了采用多分类器支持向量机齿轮箱故障智能诊断方法,简介了该方法的系统结构、实现原理、特征提取与故障类别,重点讨论了齿轮箱故障多分类器支持向量机智能诊断模型与算法。仿真试验结果说明了采用多分类器支持向量机智能方法进行齿轮箱故障智能诊断的可行性与正确性。     

一种适用于大变形支护的新型可伸长锚杆

支护理论的发展对锚固技术提出了新的要求,即要与围岩变形相协调,允许围岩可控变形,充分发挥围岩的自支撑能力。基于此设计了一种适用于大变形支护的新型可伸长锚杆,该型锚杆在达到初始锚固力后,在保持与围岩协调变形的伸长过程中锚固力可基本保持恒定,达到围岩许用变形形值后,锚固力急速上升。室内与现场试验证实了新型可伸长锚杆协调围岩大变形的优良性能,可在围岩大变形支护中推广应用。可伸长。     

新颖自锚式悬索桥设计与转体施工

新颖自锚式悬索桥的主缆采用钢管混凝土索套的半刚性索;加劲梁采用预应力混凝土箱梁,主缆作为预应力体外索,在跨中正弯矩区段穿入箱梁内,托起箱梁并起主缆中央扣的作用,形成梁索组合结构。桥梁的恒载由主缆承担,预应力混凝土箱梁承担主缆索力的水平分力,箱梁用于减少自锚式悬索桥的活载作用下的挠度,并承担压力与弯矩。这类桥梁建筑高度约为l/40～l/50,它适用于跨径100m左右的二跨或三跨连续梁桥。施工方法过去一般采取满堂支架现浇,因此限制了本桥型的适用范围。在上海松江施贤路油墩港桥,将偏心转体施工方法首次应用于自锚式悬索桥,并利用盆式支座为转体的磨心及滑道,缩小了主桥跨径及省略钢筋混凝土磨心的精工细作,施工工艺简便易行,使上述桥型可适用于不同场合。