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.     

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。     

内燃机瞬时转速测量及其误差研究

论述了测量内燃机瞬时转速的PC仪器的工作原理 ,构成及其应用实例 ,并对磁电式转速测量系统固有的测量误差进行了详细分析研究。     

人的失误模型在船舶溢油事故应急中的应用分析

船舶交通事故问题的预测一直是业内研究人员十分重视的研究课题。分别采用回归预测法、时间序列预测法、灰色理论预测法和贝叶斯统计预测法等不同方法,结合国内某港引航站近十多年来船舶引航总量和事故的实际情况,进行了比较分析和对未来情况予以预测。着重就贝叶斯方法在港口船舶引航风险预测中的运用进行了探讨。结论证明贝叶斯估计方法得到的结果具有良好的预测效果。     

船舶机损事故人误原因因素的层次分析法

基于认知系统工程分类方法，应用层次分析法构建了船舶机损事故人误原因因素结构模型，将成对比较矩阵的特征向量作为因素的权重，确定相关因素的影响力排序。给出了一种识别船舶机损事故中人误原因主要影响因素的实用方法，并针对性地提出相应预防措施，减少船舶机损事故提供可靠的理论依据。     

离焦对光测影响的初步研究

分析离焦产生机理,并通过实验的方法,定量地分析离焦对光测的影响.有助于解决在进行大视场测量时,特别是对大视场内的运动目标位置进行测昔时,在什么位置标定既方便又不影响测量精度的难题.