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.     

弧形防浪墙波浪力的试验研究

在斜坡式防浪建筑物中,为满足越浪与稳定要求,减少工程投资,常在堤顶设置防浪墙。通过三分力天平对常用的直立式、不同墙底高程和墙高组合下的圆弧式防浪墙进行物理模型试验,直接测量作用其上的波浪力,分析不同形式下防浪墙的整体稳定性,讨论防浪墙形式引起的波浪力的变化关系。     

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。     

基于设施属性的城市轨道交通融资模式

以项目区分理论为理论基础,从轨道交通的基本属性入手,按照可经营性和可拆分性对轨道交通基本设施进行分类,对不同属性的设施进行组合.按照所有权和经营权是否转移,将各种适用于轨道交通的融资方式进行分类;并将两者进行匹配,提出了符合轨道交通客观发展规律、可供轨道交通建设发展采用的多元化融资模式及其评价方法.     

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。     

港池疏浚过程悬浮物影响预测研究及应用

港池疏浚产生的高浓度悬浮泥沙,对海域环境的影响不能忽视。在建立近海悬浮物二维输移扩散数值模型的基础上,采用有限元分步杂交方法求解,对两种不同施工方案下悬浮物的输移扩散进行预测模拟。根据预测结果,对比分析两种施工方法可能对附近海域水质环境造成影响的程度,为施工方案的选择提供科学依据。     

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.