基于混沌蚁群算法的最短路径选择研究

如何解决最短路径选择问题一直是城市交通流诱导系统的关键之一.基于群体仿生理论的蚁群算法是解决此问题的一种方法,针对采用蚁群算法进行最短路径选择时易出现的陷入局部最优解问题,引入混沌理论,采用混沌蚁群算法利用混沌初始化进行改善个体质量和利用混沌扰动避免在蚁群算法搜索过程中陷入局部极值,同时降低了蚁群算法的时间复杂度,从而更好的解决了最短路径选择问题.     

高速铁路应急预案与规章管理优化探讨

随着高速铁路的快速发展,科学合理的应急预案与规章对保障旅客运输服务质量和安全的作用愈加显著。系统分析发达国家铁路应急管理现状与经验,阐述我国国家、铁道行业和国铁集团层面法律法规、预案与规章现状与存在问题,提出强化政府层面高速铁路应急预案、完善高速铁路应急处置机制、建立健全高速铁路应急处置规章体系、推进应急规章体系的制修订和定期开展应急培训与演练等政策建议,为完善我国高铁应急管理体系、提高应急处置能力提供支撑。     

昆明局集团公司卸车能力提升对策

为提升昆明局集团公司卸车能力,满足全路货运装车需求,阐述卸车能力影响因素,从系统角度构建铁路三级服务卸车系统,包括运输通道子系统、枢纽作业子系统与货运站点作业子系统.针对昆明局集团公司卸车能力紧缺的现状,分析各级服务子系统的能力,提出相应的能力提升措施,并分析其效果.经研究可知,通过实施运输组织优化、车流径路调整、货运...     

电子地图轨道地理坐标描述方法研究

卫星定位在列控系统中应用时,需要使用能够描述轨道地理坐标信息的电子地图文件.首先对弯轨的两种描述方法进行优缺点分析,提出线段近似法更有利于工程应用和实施,然后对使用线段近似点进行弯轨近似描述的误差进行量化分析,提出基于最大误差的近似点间隔确定方法,该方法既可以保证轨道描述精度又能有效降低电子地图数据量.     

ETCS列控系统进路适应性功能研究

在ETCS列控系统中,列车跨区域或跨国家运行时,列车可能与前方线路支持的装载限界、牵引系统、轴重类别不适应,需要车载设备对进路适应性进行监控.地面设备向车载设备提供列车前方的进路适应性数据,车载设备监控列车是否适应前方的线路,并进行安全防护,保证列车运行安全.介绍进路适应性的基本概念,阐述车载设备监控进路适应性数据的基...     

飞机液体冷却系统仿真技术研究

随着航空技术的进步,机载电子设备系统朝着数字化、集成化、智能化方向发展,导致机载电子设备的组装密度和热流密度不断增加,机载电子设备冷却问题越来越突出。对于大功率机载电子设备,传统强迫通风无法满足要求,多使用液体冷却技术对其进行冷却。本文提出了一种可应用于机载电子设备分散布置、具有区域故障隔离能力的新型飞机液体冷却系统架构,基于AMESim软件对此架构进行了仿真研究。     

基于AHP和模糊评价法的C^3I系统效能评估

为定量评估C^3I系统的效能,建立了C^3I系统效能的指标体系,并对其中较为重要的指标进行了分析。运用层次分析法（AHP）确定C^3I系统效能评价体系中各指标的权重,使用模糊综合评价法对各模糊指标进行评价,评价结果表明该方法能够比较科学合理地对C^3I系统效能进行评估,从而为评估C^3I系统效能提供了一种论证方法。     

A simplified method for reliability- and integrity-based design of engineering systems and its application to offshore mooring systems

This paper presents a simplified method for the reliability- and the integrity-based optimal design of engineering systems and its application to offshore mooring systems. The design of structural systems is transitioning from the conventional methods, which are based on factors of safety, to more advanced methods, which require calculation of the failure probability of the designed system for each project. Using factors of safety to account for the uncertainties in the capacity (strength) or demands can lead to systems with different reliabilities. This is because the number and arrangement of components in each system and the correlation of their responses could be different, which could affect the system reliability. The generic factors of safety that are specified at the component level do not account for such differences. Still, using factors of safety, as a measure of system safety, is preferred by many engineers because of the simplicity in their application. The aim of this paper is to provide a simplified method for design of engineering systems that directly involves the system annual failure probability as a measure of system safety, concerning system strength limit state. In this method, using results of conventional deterministic analysis, the optimality factors for an integrity-based optimal design are used instead of generic safety factors to assure the system safety. The optimality factors, which estimate the necessary change in average component capacities, are computed especially for each component and a target system annual probability of system failure using regression models that estimate the effect of short and long term extreme events on structural response. Because in practice, it is convenient to use the return period as a measure to quantify the likelihood of extreme events, the regression model in this paper is a relationship between the component demands and the annual probability density function corresponding to every return period. This method accounts for the uncertainties in the environmental loads and structural capacities, and identifies the target mean capacity of each component for maximizing its integrity and meeting the reliability requirement. In addition, because various failure modes in a structural system can lead to different consequences (including damage costs), a method is introduced to compute optimality factors for designated failure modes. By calculating the probability of system failure, this method can be used for risk-based decision-making that considers the failure costs and consequences. The proposed method can also be used on existing structures to identify the riskiest components as part of inspection and improvement planning. The proposed method is discussed and illustrated considering offshore mooring systems. However, the method is general and applicable also to other engineering systems. In the case study of this paper, the method is first used to quantify the reliability of a mooring system, then this design is revised to meet the DNV recommended annual probability of failure and for maximizing system integrity as well as for a designated failure mode in which the anchor chains are the first components to fail in the system.     

利用BP神经网络模型动态预测隧道涌水量——以铜锣山隧道为例

以垫邻高速铜锣山隧道为例,在分析隧道涌水和降雨响应特征的基础上,建立了综合考虑降雨脉冲、降雨累积效应和地下水系统整合作用的隧道涌水量预测的BP神经网络模型。计算结果表明,该模型对训练样本的拟合程度较好(平均绝对百分比误差为13.27%)且具有较高的预测精度(平均绝对百分比误差为15.05%)。该模型的建立和成功应用对丰富隧道涌水量的预测方法和动态指导隧道防排水管理具有重要意义。     

海上运动补偿混联舷桥的机构学建模

面向高海况下运维船与海上平台之间维护人员的快速安全换乘需求,结合海上运动补偿的特点,设计一种海上混联稳定舷桥,并确定换乘流程。在非惯性系下,基于矢量法、D-H法和旋量速度、加速度理论,建立稳定舷桥机构末端稳定一点的运动学模型;基于旋量形式的牛顿-欧拉公式,结合D’Alembert原理和虚功原理,建立其动力学模型。数值算例表明,所建模型正确,且通过添加配重,可有效均匀驱动力。