小水线面船载荷分析及整船结构强度直接计算

文章提出了一种小水线面船的载荷计算方法,应用该方法对中国第一条小水线面船进行强度计算和设计。     

恒温热源条件下实际回热式布雷顿循环的功率密度特性

用有限时间热力学方法分析恒温热源条件下实际回热式布畦顿循环的功率密度特性,计入工质与高,低温侧换热器的热阻损失,压气机,涡轮机的不可逆压缩和膨胀损失,以及管路系统中的压力损失,导出了功率密度与压比间的解析式,并通过数值计算将对应于最大功率密度时的一些参数与对应于最大功率时的同样参数进行了比较。     

用P-Y曲线法计算板桩结构

根据P-Y曲线法原理分别对沉入砂性土地基及粘性土地基的板桩码头进行了例题计算,并且与传统的m法进行了比较。     

三峡枢纽通航半分节驳船队运输分析及船型规划

该文在分析航道,货源及典型航线等基础上,采用分段计算对三峡枢纽通航半分节驳船队的营运经济性作了分析,提出了三峡枢纽过坝半分节驳船队及相应船型。     

层次分析法在运载器系统中应用研究

该文应用层次分析法研究水下运载器各子系统或部件对总体性能重要程度,在对运载器进行层次结构建模基础上,根据表征各元素间看要性关系,形成单一准则下判断矩阵,构造系统的加权超矩阵,得到系统的极限相对排序（LIP）,最后给出了部分计算分析结果。     

柴油机磨粒参数的灰色关联分析及预测

该文根据紫油机时间序列磨粒形状参数,应用灰色系统理论进行关联分析,并用GM（O,N）模型进行磨损趋势预测,在实际应用中证明这一方法是有效的。     

2000年国际集装箱运输市场回顾及2001年展望

国际航运市场的兴衰主要取决于世界经济的发展变化。近两年来,特别是进入２０００年以来,国际集装箱运输市场的持续旺盛,完全受益于世界经贸稳步、健康的发展。本文分析了２０００年集装箱市场的走势,对２００１年的国际集装箱市场进行了展望。     

D-S证据理论在多传感器融合中的应用

详细介绍了Dempster-Shafer证据理论,介绍了它在多传感器融合(MSF)中的应用,并举了一个具体的例子,实验结果验证了其有效性。     

A new approach for improving the performance of freight train timetabling of a single-track railway system

A new approach for improving the performance of freight train timetabling for single-track railways is proposed. Using the idea of a fixed-block signaling system, we develop a matrix representation to express the occupation of inter- and intra-station tracks by trains illustrating the train blocking time diagram in its entirety. Train departure times, dwell times, and unnecessary stopping are adjusted to reduce average train travel time and single train travel time. Conflicts between successive stations and within stations are identified and solved. A fuzzy logic system is further used to adjust the range of train departure times and checks are made to determine whether dwell times and time intervals can be adjusted for passenger and freight trains at congested stations to minimize train waiting times. By combining manual scheduling expertise with the fuzzy inference method, timetable efficiency is significantly improved and becomes more flexible.     

Large-scale evacuation network optimization: a bi-level control method with uncertain arterial demand

To improve the efficiency of large-scale evacuations, a network aggregation method and a bi-level optimization control method are proposed in this paper. The network aggregation method indicates the uncertain evacuation demand on the arterial sub-network and balances accuracy and efficiency by refining local road sub-networks. The bi-level optimization control method is developed to reconfigure the aggregated network from both supply and demand sides with contraflow and conflict elimination. The main purpose of this control method is to make the arterial sub-network to be served without congestion and interruption. Then, a corresponding bi-objective network flow model is presented in a static manner for an oversaturated network, and a Genetic Algorithm-based solution method is used to solve the evacuation problem. The numerical results from optimizing a city-scale evacuation network for a super typhoon justify the validity and usefulness of the network aggregation and optimization control methods.