船舶动力装置与设备油液监测技术应用研究

随着船舶维修制度的变革,油液监控技术逐渐应用于船舶领域,成为机械状态监控应用研究领域比较活跃的一个分支,文章主要阐述油液监控技术在船舶中的应用。     

基于灰评估的船舶航向优选方法研究

依据船舶耐波性理论计算结果,运用灰色关联综合评估理论对大风浪中船舶耐波性进行了综合评估,然后根据评估结果确定船舶在波浪中以某一航速航行时的优选航向,并通过实例应用与分析表明,使用该方法能为船舶安全航行提供科学指导。     

中低速磁浮桥建合一车站结构振动分析探讨

建立适合磁浮交通领域"桥-建"合一车站振动的评价标准,对不同工况下的激励源、激励输入进行研究,并建立磁浮列车-轨道梁耦合振动分析模型以及站房结构动力分析模型。以磁浮朗木梨站为分析对象,对不同工况不同区域的结构振动舒适性及结构安全性进行评价,仿真分析评价结果表明:一线制动一线启动工况下站房结构振动响应最大;轨行区结构振动响应明显大于站台区结构振动响应;在本研究所列不同工况下结构的振动舒适性及安全性是有保证的。     

振动压路机机—土动力相互作用分析

针对振动压路机的振动特性、土的压实和振动在土中的传播三类问题,建立三维有限元模型进行机—土动力相互作用分析。详述了建模中的若干问题,讨论了压路机的振动特性、土的应力分布和振动在土中的传播范围。     

深水管中管结构动态边界条件非线性时域分析

随着海洋油气开发工程作业水深的增加,管中管结构承受的波浪、海流深海环境载荷增大,可能会引发强度破坏以及疲劳损伤,造成重大损失,所以开展深水条件下管中管系统的力学行为分析研究是有必要的。本文考虑了顶部张紧力和动态边界,利用有限元模型来模拟管中管结构及其力学行为。并利用接触单元模拟内外管接触的约束条件。综合统计了管柱的接触碰撞位置和应力危险位置,提出了新型扶正器的布置方案,以达到减缓碰撞保护管柱的目的,并对比了等距离设置扶正器的方案。通过对比研究发现本文提出的扶正方案有效减缓了内外管的应力等级,对于实际工程和研究具有一定指导价值。     

基于粒子群算法的动力定位推力分配决策变量优选

针对群智能算法解决动力定位推力分配问题易陷入局部最优、计算时间长等不足,基于粒子群算法探索不同粒子决策变量对推力分配结果的影响。首先考虑推力分配目标力和力矩、推力限制、禁止角等约束条件,以推进器功率最优、磨损最小为优化目标建立了推力分配数学模型,构建了基于三种不同粒子决策变量的粒子群推力分配算法;其次以算法结果的适应度值、计算消耗时间的均值和方差量化算法的收敛性和实时性,对上述三种方法进行了仿真分析,仿真结果对比表明,基于本文提出的粒子决策变量搜索在收敛性和实时性上均达到最优,对粒子群算法解决推力分配问题有一定的参考价值。     

桥梁结构安全监测的动力响应法与评估系统

针对桥梁管理需要,在国内外现有桥梁管理系统的研究基础上,根据目前的技术条件及经济条件,对桥梁管理的安全动态监测系统进行了研究,明确地阐述了桥梁安全性动态监测与分析系统的概念,进行了该系统的结构设计,并对其核心部分结构安全性评估子系统进行了研究：给出了选取的监测参数、评估框架流程、参数识别方法、承载能力评定、荷载模式识别方法以及结构状态评估方法。该系统的使用可以使桥梁管理者及时了解桥梁结构的工作性能状况,正确作出桥梁维修决策,及时消除结构安全隐患。     

纯电动汽车动力系统参数选择与匹配

动力系统参数选择与匹配对电动汽车的动力性和经济性会产生很大的影响。文章在理论计算和工程分析的基础上。对电机、电池以及传动系传动比进行了参数匹配,分析了纯电动汽车传动系参数的选择对电动汽车性能的影响。ADVISOR仿真结果表明,所选动力总成部件与整车匹配后能够满足纯电动轿车动力性的要求。为纯电动汽车动力系统参数选择与匹配提供了参考。     

Competition and disruption in a dynamic urban supply chain

Rapid changes and complexities in business environments have stressed the importance of interactions between partners and competitors, leading supply chains to become the most important element of contemporary business environments. There is a concomitant need for foresight in describing supply chain performance in all operating environments, including those involving punctuated disruptions. Furthermore, the urban metropolis is now widely recognized to be an environment which is especially vulnerable to supply chain disruptions and for which integrated supply chain decisions can produce very substantial net benefits. Accordingly, this paper presents a dynamic supply chain network model formulated as a differential variational inequality; the model is fashioned to allow consideration of supply chain disruption threats to producers, freight carriers, and retail enterprises. The DVI is solved using a fixed-point algorithm, and a simple numerical example, introduced to illustrate how the impacts of supply chain disruptions may be quantified, is presented.     

Approximate network loading and dual-time-scale dynamic user equilibrium

In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand evolution. Our formulation belongs to the problem class that Pang and Stewart (2008) refer to as differential variational inequalities. It combines the within-day time scale for which route and departure time choices fluctuate in continuous time with the day-to-day time scale for which demand evolves in discrete time steps. Our formulation is consistent with the often told story that drivers adjust their travel demands at the end of every day based on their congestion experience during one or more previous days. We show that analysis of the within-day assignment model is tremendously simplified by expressing dynamic user equilibrium as a differential variational inequality. We also show there is a class of day-to-day demand growth models that allow the dual-time-scale formulation to be decomposed by time-stepping to yield a sequence of continuous time, single-day, dynamic user equilibrium problems. To solve the single-day DUE problems arising during time-stepping, it is necessary to repeatedly solve a dynamic network loading problem. We observe that the network loading phase of DUE computation generally constitutes a differential algebraic equation (DAE) system, and we show that the DAE system for network loading based on the link delay model (LDM) of Friesz et al. (1993) may be approximated by a system of ordinary differential equations (ODEs). That system of ODEs, as we demonstrate, may be efficiently solved using traditional numerical methods for such problems. To compute an actual dynamic user equilibrium, we introduce a continuous time fixed-point algorithm and prove its convergence for effective path delay operators that allow a limited type of nonmonotone path delay. We show that our DUE algorithm is compatible with network loading based on the LDM and the cell transmission model (CTM) due to Daganzo (1995). We provide a numerical example based on the much studied Sioux Falls network.