ADAMS中三维虚拟路面的实现

提出一种在车辆虚拟样机动力学性能仿真分析中构建三维虚拟路面的方法,将路面节点连接问题简化为投影平面内点集的不规则三角形网格连接,依据delaunay算法进行求解。由于对节点的分布无过多的限制,从而大大简化了虚拟样机动力学分析中路面的构建过程,可用于复杂试验路面的数字实现。     

两起船舶碰撞事故的调查和思考

基于对两起船舶碰撞事故的调查,分析导致碰撞发生的各种因素,指出当值船员责任心差和对航行规则的误解是导致事故发生的根本原因,提出船东应对船员进行有针对性的培训,以提高船员的工作责任心和工作技能,以期避免类似事故的发生。     

一种小支持度布尔关联规则的挖掘方法

关联规则挖掘算法一般用于发现强关联规则,对于小支持度规则的挖掘则缺少有效的算法.利用事务数据的时间特性,将事务数据集划分成若干子集,对子集进行挖掘,并在得到的规则集基础上建立规则矩阵,过滤矩阵,得到一种挖掘事务数据集中小支持度布尔关联规则的新方法.     

基于关联规则的重大道路交通事故影响因素分析

相比于一般交通事故,重大道路交通事故的特征及其影响机理会有所差异,本文旨在研究重大道路交通事故的分布特征及其主要影响因素。收集2014至2018年的重大道路交通事故数据,从驾驶员行为、车辆状况、道路线形和时空分布方面对重大道路交通事故的基本特征进行分析,采用关联规则技术深入挖掘重大道路交通事故多因素的影响机理。从人、车、道路和环境四个方面,重点讨论了重大道路交通事故中的两因素和三因素交互作用的影响机理,并据此提出了针对性的事故预防措施。     

任意多点共圆平面的Delaunay三角剖分在水动力数值模拟中的应用

针对任意多点共圆平面的Delaunay三角剖分问题提出新的计算方法,在不改变原点集的条件下找到任意Delaunay三角形后,随即判断其外接圆上是否存在其他的共圆点;在找到共圆点后,采用简单策略生成共圆点所围区域的三角网格,并对给定原始边界穿越共点圆的情况进行算法讨论。该算法在水动力数值模拟过程中增加的计算量较少,能取得较好的数模计算效果。     

支持向量机和遗传算法组合策略的VLCC船中结构优化设计(英文)

In this paper a hybrid process of modeling and optimization,which integrates a support vector machine(SVM) and genetic algorithm(GA),was introduced to reduce the high time cost in structural optimization of ships.SVM,which is rooted in statistical learning theory and an approximate implementation of the method of structural risk minimization,can provide a good generalization performance in metamodeling the input-output relationship of real problems and consequently cuts down on high time cost in the analysis of real problems,such as FEM analysis.The GA,as a powerful optimization technique,possesses remarkable advantages for the problems that can hardly be optimized with common gradient-based optimization methods,which makes it suitable for optimizing models built by SVM.Based on the SVM-GA strategy,optimization of structural scantlings in the midship of a very large crude carrier(VLCC) ship was carried out according to the direct strength assessment method in common structural rules(CSR),which eventually demonstrates the high efficiency of SVM-GA in optimizing the ship structural scantlings under heavy computational complexity.The time cost of this optimization with SVM-GA has been sharply reduced,many more loops have been processed within a small amount of time and the design has been improved remarkably.     

水面舰船甲板局部静强度测试软件

在总纵强度虚拟测试系统的基础上,设计舰船甲板及平台局部结构静强度测试软件。利用XML文档与测试软件的数据库接口,将舰船测试模型数据准确导入系统,通过"载荷计算"、"甲板板强度计算"和"骨材强度计算"等流程实现基于国家军用标准的甲板局部静强度测试与验证。软件测试结果与人工校核的实船计算结果对比一致,达到了人机交互的数字化测试效果,与人工校核相比大大缩短了计算时间。     

New insights on random regret minimization models

This paper develops new methodological insights on Random Regret Minimization (RRM) models. It starts by showing that the classical RRM model is not scale-invariant, and that – as a result – the degree of regret minimization behavior imposed by the classical RRM model depends crucially on the sizes of the estimated taste parameters in combination with the distribution of attribute-values in the data. Motivated by this insight, this paper makes three methodological contributions: (1) it clarifies how the estimated taste parameters and the decision rule are related to one another; (2) it introduces the notion of “profundity of regret”, and presents a formal measure of this concept; and (3) it proposes two new family members of random regret minimization models: the μRRM model, and the Pure-RRM model. These new methodological insights are illustrated by re-analyzing 10 datasets which have been used to compare linear-additive RUM and classical RRM models in recently published papers. Our re-analyses reveal that the degree of regret minimizing behavior imposed by the classical RRM model is generally very limited. This insight explains the small differences in model fit that have previously been reported in the literature between the classical RRM model and the linear-additive RUM model. Furthermore, we find that on 4 out of 10 datasets the μRRM model improves model fit very substantially as compared to the RUM and the classical RRM model.     

协调版共同结构规范对32万吨巨型油船的影响评估

以32万吨巨型油船（VLCC）为例，通过描述性规定与直接强度计算，对比分析协调版共同规范与油船共同规范的差异，评估新规范对目前巨型油船结构可能带来的影响。     

轴系校中参数与轴系振动特性相关性仿真研究

轴系安装工艺参数与轴系振动特性相关性规律研究具有重要的工程应用价值。以典型舰船轴系为研究对象,通过有限元法分析轴系纵向、横向振动模态,开展轴系在典型工况螺旋桨叶频激励下的振动响应分析。在此基础上,定性分析轴系校中工艺参数对轴系振动特性的影响规律。结果表明:轴系横向振动加速度级明显大于纵向振动加速度级幅值,横向振动位移呈现出从尾至首的递减规律,现行的轴系直线校中验收指标已较为严格,轴系法兰、离合器的偏移曲折对轴系振动特性影响十分有限。