On the numerical accuracy of the prediction of resistance coefficients in ship stern flow calculations

This article presents a study on the accuracy of the numerical determination of the friction and pressure resistance coefficients of ship hulls. The investigation was carried out for the KVLCC2 tanker at model- and full-scale Reynolds numbers. Gravity waves were neglected, i.e., we adopted the so-called double-model flow. Single-block grids with H–O topology were adopted for all the calculations. Three eddy viscosity models were employed: the one-equation eddy viscosity and the two-equation models proposed by Menter and the TNT version of the two-equation k-ω model. Verification exercises were performed in sets of nearly geometrically similar grids with different densities in the streamwise, normal, and girthwise directions. The friction and pressure resistance coefficients were calculated for different levels of the iterative error and for computational domains of different size. The results show that on the level of grid refinement used, it is possible to calculate the viscous resistance coefficients in H–O grids that do not match the ship contour with a numerical uncertainty of less than 1%. The differences between the predictions of different turbulence models were larger than the numerical uncertainty; however, these differences tended to decrease with increases in the Reynolds number. The pressure resistance was remarkably sensitive to domain size and far-field boundary conditions. Either a large domain or the application of a viscous–inviscid interaction procedure is needed for reliable results. This work was presented in part at the International Conference on Computational Methods in Marine Engineering—MARINE 2007, Barcelona, June 3–4, 2007.     

深水试验水池大型升降平台多电机同步控制

深水试验水池是开展深海装备开发必不可少的试验手段,大型升降平台是其中的关键设备.大型高精度、高转速传动系统的多电机同步控制是最为核心的问题之一.同步控制算法的优劣直接影响系统的性能与可靠性.提出深水试验水池大型升降平台多电机同步协调控制系统构成方案,并提出一种新的基于拉力死区误差均衡及中心耦合误差的升降平台多电机同步协调控制策略,实现了拉力控制和位置控制的解耦;同时,提出了多电机控制的升降平台仿真系统,其仿真结果表明:所提出的控制策略同步稳定性能高、收敛速度快,具有很高的应用价值.     

新型集装箱汽车衡称重技术与误差分析研究

为了对一辆集卡装载的2个20英尺集装箱进行分别称重,设计了新的汽车衡结构,推导出计算公式并进行实验验证,得到了一种可以保证作业安全且能为港口和货主接受的集装箱汽车衡称重方法。     

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.     

一种新型管道机械接头密封分析

随着海洋石油事业的发展,尤其是在役多年的石油平台工艺管道长时间受腐蚀介质和海洋环境的影响容易发生泄漏,传统的管道焊接技术由于需要动火作业,在已投产的石油平台管道维修方面受油气易燃易爆等各种因素的制约,不适应海洋平台管道维修快速、环保、经济等新要求。文中利用ANSYS有限元软件对传统机械接头的结构进行优化分析,开发出一种新型管道机械连接接头。此种接头具有耐高压、耐腐蚀、节能、安全、安装快捷等显著优点,特别适用于海洋石油平台工艺管道的快速维修。着重分析了新型管道机械接头的基本结构、连接机理及影响其密封性能的主要因素,分析结果显示此种连接可靠。     

国内外船舶通用基础机电产品产业发展特点

本文围绕泵、阀、轴承、密封件、紧固件等五大类船舶通用基础机电产品,对其产业发展现状进行分析研究,总结国内外船舶通用基础机电产品产业发展特点,提出未来产业发展建议,为国内产品自主创新与产业升级提供参考。     

无梁板式高桩码头温度效应分析

气温的年变化会引起结构内温度的均匀变化,从而使得结构内部产生变形和内力,在高桩码头工程中温度作用往往会引起不利影响。为了研究无梁板式高桩码头的温度效应,基于无限板的热传导规律,以工程实例为依托,利用有限元软件ABAQUS建立三维模型。结合杭州地区的逐时气象资料,研究了气温变化特征、面板温差场以及结构变形与位移的变化规律,并对基本气温的选取进行讨论。结果表明:气温在无梁面板中呈现以厚度方向为主的一维传热特征,温度场在水平向分布均匀;气温年变幅在面板内几无衰减,日变幅对面板温度影响不可忽略;面板的整体温差与竣工时气温和年平均气温差,以及年变幅、日变幅的衰减值有关;无梁板码头基桩的温度响应受面板的整体温差控制,两者瞬时同步变化。     

一种基于独立成分分析和径向基神经网络的人脸识别新方法

提出了一种新的基于独立成分分析和径向基神经网络的人脸识别方法。独立成分分析可以从高阶上消除特征数据的相关性,改进了主成分分析方法只能从2阶上消除数据相关性的弱点;最终特征数据的分类由RBF神经网络来实现。在人脸数据库上的实验结果表明该新方法的识别性能较其他方法有了很大提高。     

Incorporating human-factors in car-following models: A review of recent developments and research needs

Over the past decades there has been a considerable development in the modeling of car-following (CF) behavior as a result of research undertaken by both traffic engineers and traffic psychologists. While traffic engineers seek to understand the behavior of a traffic stream, traffic psychologists seek to describe the human abilities and errors involved in the driving process. This paper provides a comprehensive review of these two research streams.It is necessary to consider human-factors in CF modeling for a more realistic representation of CF behavior in complex driving situations (for example, in traffic breakdowns, crash-prone situations, and adverse weather conditions) to improve traffic safety and to better understand widely-reported puzzling traffic flow phenomena, such as capacity drop, stop-and-go oscillations, and traffic hysteresis. While there are some excellent reviews of CF models available in the literature, none of these specifically focuses on the human factors in these models.This paper addresses this gap by reviewing the available literature with a specific focus on the latest advances in car-following models from both the engineering and human behavior points of view. In so doing, it analyses the benefits and limitations of various models and highlights future research needs in the area.     

桥梁结构状态健康监测系统差错控制研究

数据可靠度问题是制约桥梁结构健康监测系统进一步发展的瓶颈。而数据通信领域利用差错控制思想来保证数据的可靠性,已获得成功应用。目前的桥梁结构健康监测系统尚无数据差错控制的思想,也无相关的理论和模型。从系统的角度提出桥梁结构健康监测系统差错控制的基本思想和模型,以及针对信息获取环节、数据传输环节、安全评价环节的差错控制机制,从而彻底解决桥梁结构健康监测系统的数据失真问题,提高系统的可靠性,有效降低虚/漏报警率,并在具体实践中得以成功运用。