Experimental study on the nonlinear pressure acting on a high-speed vessel in regular waves

It is well known that the hydrodynamic responses of a high-speed vessel traveling in regular head waves of even moderate wave height can show significant nonlinear behavior, and so linear statistical techniques become insufficient for predicting the statistics of responses in irregular waves. On the other hand, it has been shown that an approximate third-order Volterra model is applicable to handling the statistics of some nonlinear seakeeping problems, such as motions and vertical hull girder loads. In the present study, the focus is on the nonlinear behavior of the pressure responses of the hull surface, especially on the pressures acting on alternately wet and dry areas near the waterline and on the bow zone with high deadrise angles that may be subject to slight impact and water pile-up effects. To clarify the validity of applying Volterra modeling to this problem, a series of experiments in regular and irregular head waves were carried out, and approximate third-order and fifth-order Volterra models with the proposed algorithm for finding frequency response functions (FRFs) were applied as a means of validation. In the present article, the first part of the validation was performed using experimental data in regular waves. It was confirmed that the third-order Volterra model has adequate accuracy to simulate deterministically the variation of pressure responses in regular waves of different wave steepness up to a wave amplitude to wavelength ratio of 0.01 even for the highly nonlinear pressures acting on the above-mentioned areas of the hull surface.     

太平洋航线集装箱货流量GM(1,1)-马尔可夫链预测方法探讨

运用灰色系统理论对太平洋航线集装箱货流量进行定量预测,并结合马尔可夫预测方法对航线运量进行定性分析,达到定量与定性预测相结合的目的,使预测结果更加合理。采用马尔可夫链划分系统的状态,得出状态转移概率矩阵,分析了太平洋航线集装箱货流量的发展变化区间并预测集装箱航运市场的发展前景。     

时变胶系统的建模与控制

时间/压力型流体点胶技术在半导体封装过程中有着广泛的应用。由于胶液的非牛顿特性和点胶过程的时变特性,很难建立精确实用的点胶模型。本文通过分析过程参数(胶体体积)变化对系统性能的影响,提出了点胶过程分段变参数模型,并利用该模型对实际点胶系统进行了分段控制。仿真和实验验证了模型与控制的有效性。     

Hybrid neural network model for history-dependent automotive shock absorbers

The method of numerical multi-body simulation is an often used and well-understood development tool in the automotive industry. In order to reproduce the ride comfort or handling behaviour of vehicles, mathematical models have to be built up. To achieve accurate simulation results, highly detailed component models are required. However, the formulation of appropriate physically-based model equations of complex automotive components (e.g. air springs, shock absorbers, rubber bearings, tyres, etc.) can be very difficult. To handle this, empirical modelling methods have been developed. Simple algebraic equations are used to describe complex system behaviour. This simplification is very effective, although it largely ignores the natural laws of mechanics and thermodynamics but is still capable to predict the component response. This article illustrates how to take advantage of this approach in numerical simulations. We describe the development of a hybrid automotive shock absorber model based on both spline and neural network (NN) approaches. By combining these different approaches, an accurate model is achieved without loss of variability. Non-isothermal laboratory force-displacement measurements of an automotive shock absorber are being used to estimate the parameters of the NN. As shown, the model replicates the measured data with sufficient accuracy, especially the hysteresis. Finally, we present a set of quarter-car simulations with a built-in hybrid NN shock absorber.     

基于单变量散货船数学模型建立

分析了散货船船队发展现状及其今后的发展趋势,在对现有的船型数据资料进行整理分析的基础上,利用逐步回归计算机程序建立了散货船的数学模型。该模型的建立有利于掌握现代散货船主尺度要素变化规律,对其今后的经济论证可起指导性作用,有助于该船型的报价设计和初步设计,并可使其总体设计得到优化。     

通风管路接头漏风的数值模型

本文在通风管路流运过程及漏风特性进行流体力学及数值计算分析的基础上，建立了通风管路接头漏风的数值模型有订应的系统方程。运用漏风数值模型研究了风管直径、漏缝尺寸、阻力系数及管路长度对漏风的影响。研究结果与日本高木英夫公式不谋而合，证明本文构思正确，并具有一定的实用性。     

随机减量法识别转向架构架的频率

随机减量法是一种随机激扰下的模态参数识别方法。在实际线路上对CW-200转向架构架的振动加速度进行了测量,并依据随机减量法对测得的加速度数据进行了构架的三阶刚体模态的识别,得到了三阶刚体模态对应的频率。证实了随机减量法识别构架模态参数的可行性。     

铁路贯通/自闭线单相接地故障段定位方法

研究目的:据大量的运行故障统计表明,中性点不接地系统发生单相接地故障约占系统总故障率的80％以上,本方法为了迅速定位并隔离故障区段,提高铁路贯通、自闭线的供电可靠性。研究方法:本文分析了线路发生单相接地故障时,零序电流的分布情况,基于改进的统一矩阵算法,提出一种针对铁路10 kV贯通、自闭线的故障段定位方案并加以验证。研究结果:该方案提出一种由FTU、STU和终端监控设备三个层次构成的分布式测控系统,舍去以往在电站检测零序电压、比较各出线零序电流等做法,仅使用各分段开关处的零序电流一个电量信息,根据各区段零序电流的相位和大小定位故障区段。研究结论:经过在实验室条件下的验证,该系统能在10秒内准确定位并隔离单相接地故障区段,同时也可以为故障的查找和排除提供可靠的依据。     

Segmentation of complex objects'' sonar images using parameter-fixed MRF model

The effective method of the recognition of underwater complex objects in sonar image is to segment sonar image into target, shadow and sea-bottom reverberation regions and then extract the edge of the object. Because of the time-varying and space-varying characters of underwater acoustics environment, the sonar images have poor quality and serious speckle noise, so traditional image segmentation is unable to achieve precise segmentation. In the paper, the image segmentation process based on MRF (Markov random field) model is studied, and a practical method of estimating model parameters is proposed. Through analyzing the impact of chosen model parameters, a sonar imagery segmentation algorithm based on fixed parameters' MRF model is proposed. Both of the segmentation effect and the low computing load are gained. By applying the algorithm to the synthesized texture image and actual side-scan sonar image, the algorithm can be achieved with precise segmentation result.