船用柴油机SCR催化器载体结构参数仿真优化

利用AVL_BOOST软件建立了某船用柴油机SCR催化器仿真模型,通过响应面优化法和BBD试验设计法开展仿真试验,得到以NO_X转化率为目标函数,压降和NH_3滑移量为约束条件的回归方程。通过回归方程对SCR催化器载体结构参数进行优化,优化结果为:横截面积为0.069m~2,长度0.833m,载体孔密度为22/cm~2,涂层厚度0.01mm,载体壁厚0.15mm。     

船舶焊接常见裂纹分析及控制

船体结构焊接过程中,会出现各种不同的焊接缺陷,焊接裂纹则是最危险的一种缺陷。从船厂生产实际出发,分析船舶建造的过程中容易产生焊接裂纹的部位以及裂纹类型,对产生裂纹的原因进行“把脉分析”,进行一系列的会诊;并结合具体的案例及现场试验结果,找到真正的“病因”所在;独辟蹊径,对容易忽略的影响因素进行深入研究。结合具体的生产条件,提出切合实际、经济有效的方法,来提高焊接质量和产品结构的可靠性。     

某万吨级货船轴系液压联轴节更新安装及相关参数分析

文章从某万吨级货船轴系的液压联轴节更新安装出发,介绍液压联轴节的原理,装配及轴上的安装方法,分析影响扭矩传递能力的安装参数的计算及相互关系。为类似船舶液压联轴节的故障分析和更新安装提供参考。     

汽车动理学模型综述

随着汽车动态仿真的发展,产生了不同复杂程度的汽车动理学模型,主要分为集中参数模型和多体模型。在简要说明汽车动理学发腰过程的基础上,介绍了用集中参数模型法建立的动力传动系模型、路面模型以及研究汽车平顺性和操纵稳定性的整车模型,技术介绍了多体模型以及用有限元法和动态子结构法建立的仿直模型,最后提出了汽车动理学模型的发展趋势。     

油库安全阀的选用参数计算和确定方法

阐述了油库常用安全阀排量、口径、开启压力的计算和确定方法,重点分析了油库和机场特定部位安全阀开启压力和公称通径的计算过程和考虑要素,并说明了安全阀定购和使用中的注意事项.     

基于改进粒子群算法的PMSM多参数辨识

针对标准粒子群优化算法对永磁同步电机多参数辨识精度低与收敛慢的问题,设计了一种自适应自治群组粒子群优化算法进行辨识,并在Matlab/Simulink中搭建参数辨识模型.仿真结果表明:改进后的算法对永磁同步电机多参数辨识的整体精度更高,收敛速度更快.     

基于机器视觉的车辆检测与参数识别研究进展

近年来公路交通运输快速增长,交通车辆的快速准确检测与识别对智能交通系统和交通基础设施运维具有重要意义.随着机器视觉和深度学习技术的迅速发展及其在目标检测领域的广泛应用,车辆目标检测和参数识别也取得新的突破.该文从车辆参数的识别方法和应用研究两方面梳理了机器视觉和深度学习在车辆检测与参数识别领域的研究现状、最新研究成果和...     

一种船体三维湿表面网格自动生成方法

运用累加弦长的三次参数样条函数理论,提出了一种实现船体三维湿表面网格自动生成的方法。计算实践表明,该网格生成方法准确,高效、灵活,完全可以满足船舶三维水动力计算的需要,为船舶运动与波浪载荷三维计算方法在实船预报中的应用提供了前提基础。     

海上施工定位方法及精度分析

论述了海上工程定位的方法。从计算方法和精度讨论入手 ,阐述了选取要求及注意事项 ,给出了相应的计算和改正计算公式     

Investigating micro-simulation error in activity-based travel demand forecasting: a case study of the FEATHERS framework

Activity-based models of travel demand have received considerable attention in transportation planning and forecasting in recent years. However, in most cases they use a micro-simulation approach, thereby inevitably including a stochastic error that is caused by the statistical distributions of random components. As a consequence, running a transport micro-simulation model several times with the same input will generate different outputs, which baffles practitioners in applying such a model and in interpreting the results. A common approach is therefore to run the model multiple times and to use the average value of the results. The question then becomes: what is the minimum number of model runs required to reach a stable result? In this paper, systematic experiments are carried out using Forecasting Evolutionary Activity-Travel of Households and their Environmental RepercussionS (FEATHERS), an activity-based micro-simulation modelling framework currently implemented for the Flanders region of Belgium. Six levels of geographic detail are taken into account. Three travel indices – average daily activities per person, average daily trips per person and average daily distance travelled per person, as well as their corresponding segmentations – are calculated by running the model 100 times. The results show that the more disaggregated the level, the larger the number of model runs is needed to ensure confidence. Furthermore, based on the time-dependent origin-destination table derived from the model output, traffic assignment is performed by loading it onto the Flemish road network, and the total vehicle kilometres travelled in the whole Flanders are subsequently computed. The stable results at the Flanders level provides model users with confidence that application of FEATHERS at an aggregated level requires only limited model runs.