水下目标深度测量误差源分析

首先研究了在深海环境下,采用基于三阵元垂直线列阵的水声探测系统进行水下目标深度测量的基本原理.然后从随机误差和阵元配置偏差的角度,对水下目标深度测量的误差源进行了理论分析,并推导了相关公式.此外,对于相干多途水声信道干扰给水下目标深度测量精度的影响,也作了初步的理论分析.通过仿真实验,总结出各误差源对水下目标深度测量精度影响的规律,研究结果为进一步开展水下目标深度测量研究、提高测量精度奠定了基础.     

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.     

Non-local simulation of the stable boundary layer with a third order moments closure model

A new higher order closure model for the stable boundary layer is presented and compared with Large Eddy Simulation data. The model includes numerical solutions for the mean values, second and third order moments equations. A satisfactory agreement is found between the calculated vertical profiles of the turbulent quantities with those provided by the LES. Furthermore the new model results are compared with profiles obtained with a lower order closure model in order to verify the effective importance of including third order dynamical equations in the model.     

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。     

船舶吃水对水深测量的影响浅析

在水深地形测量工作中,有很多不稳定因素极易造成水深数据误差.其中测量船舶吃水不准确也是造成误差的原因之一,因此测深船的大小以及船型的选择很重要.根据实际工作经验,对各种测量船舶吃水变化引起的水深测量误差的原因进行分析,并提出各种情况下减少水深测量误差的方法,以提高水深测量精度.     

长大隧道贯通误差估算方法

结合大伙房水库输水工程长大隧道,介绍施工测量控制系统的设计思路及其误差所引起的横向、纵向、竖向贯通误差的估算方法,精度预计结果说明本设计方案能满足横向、纵向、竖向贯通误差控制的要求。     

连续刚构桥顶推力计算方法及受力性能分析

随着交通事业的发展,预应力砼连续刚构桥以其施工简便、造价经济、受力合理、行车舒适等优势在近年来迅速崛起,在主跨200～300m范围内几乎成为首选桥型。但其理论和经验还不十分完善,在修建过程中也存在一些技术上的问题。以重庆忠县至垫江高速公路上高岩嘴特大桥主桥为例,阐述连续刚构桥中跨合拢时顶推力的计算方法,以及顶推后对该桥型受力性能的影响,供工程设计施工人员参考。     

PC连续刚构桥施工控制系统参数识别

系统参数误差是引起PC连续刚构桥悬臂施工控制误差的主要因素之一,因此消除系统参数误差是施工控制的关键所在.酉水河大桥施工监控系统参数识别过程表明,参数识别有利于施工参数的重点监测与调控.     

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.