Structural Optimization of Hatch Cover Based on Bi-directional Evolutionary Structure Optimization and Surrogate Model Method

Weight reduction has attracted much attention among ship designers and ship owners. In the present work, based on an improved bi-directional evolutionary structural optimization (BESO) method and surrogate model method, we propose a hybrid optimization method for the structural design optimization of beam-plate structures, which covers three optimization levels: dimension optimization, topology optimization and section optimization. The objective of the proposed optimization method is to minimize the weight of design object under a group of constraints. The kernel optimization procedure (KOP) uses BESO to obtain the optimal topology from a ground structure. To deal with beam-plate structures, the traditional BESO method is improved by using cubic box as the unit cell instead of solid unit to construct periodic lattice structure. In the first optimization level, a series of ground structures are generated based on different dimensional parameter combinations, the KOP is performed to all the ground structures, the response surface model of optimal objective values and dimension parameters is created, and then the optimal dimension parameters can be obtained. In the second optimization level, the optimal topology is obtained by using the KOP according to the optimal dimension parameters. In the third optimization level, response surface method (RSM) is used to determine the section parameters. The proposed method is applied to a hatch cover structure design. The locations and shapes of all the structural members are determined from an oversized ground structure. The results show that the proposed method leads to a greater weight saving, compared with the original design and genetic algorithm (GA) based optimization results.     

Simulation Study on Multi-Rate Time-Frequency Analysis of Non-Stationary Signals

A new time-frequency analysis method is proposed in this study using a multi-rate signal decomposition technique for the analysis of non-stationary signals. The method uses a multi-rate filter bank for an improved non-stationary signal decomposition treatment, and uses the Wigner-Ville distribution (WVD) analysis for signal reconstruction. The method presented in this study can effectively resolves the time and frequency resolution issue for non-stationary signal analysis and the cross-term issue typically encountered in time-frequency analysis. The feasibility and accuracy of the proposed method are evaluated and verified in a numerical simulation.     

视频监控调度系统通信协议设计

针对视频监控调度系统,设计了一种基于XML消息模型的通信协议,在监控系统通信结构的基础上,详细地设计了通信协议数据单元,实现了系统中监控信息实时、准确的交换.实验结果表明,设计的通信协议是正确可行的,并且能保证信息的高效传输,为构建稳定可靠、高效的监控调度系统奠定了坚实的基础.     

基于G.8032的二层以太环网两点故障保护方案研究

ITU-T提出了以太网环网保护切换的方案,即G.8032标准.该标准采用备用链路的方法,当故障发生时,开通备用链路.但是,该标准只针对一点故障的保护,对于两点故障的保护能力还是空白,本文主要讨论基于G.8032标准的两点故障的保护.     

基于EuroNCAP行人头部保护的某SUV车型建模与优化

基于2013版本EuroNCAP行人保护5星评价标准,建立了某SUV车型前端结构有限元模型,利用头模撞击器,结合试验结果,对该sUv车型行人保护头部碰撞性能进行了试验和仿真分析,同时结合各个碰撞点的局部结构特征,对车身局部进行了有针对性的改进设计.结果表明,优化后的车身结构降低了头部模型碰撞加速度和HIC15值,提高了行人头部保护性能.     

汽车驾驶员前方视野测量及评价

介绍了汽车驾驶员前方视野检测中的主要环节,对测量中易于出现的问题进行了分析,给出了相应的解决方案.针对驾驶员前方视野测试程序、三角窗问题的界定、双目障碍角的判断及我国的人体特点等进行了阐述,指出了进口汽车对于我国消费者人群存在的安全隐患.     

基于多点约束法的鼓式制动器有限元分析

为研究径向浮动蹄式制动器的性能特点,利用接触与多点约束相结合的方法,建立了结构有限元模型.经对比发现,该模型较传统模型能更准确的反映摩擦片的受力状态,且制动力矩仿真结果与试验数据有较好的一致性.利用该模型对制动器制动性能和摩擦片应力分布情况进行的仿真计算结果表明,径向浮动蹄式制动器有利于改善车辆制动跑偏现象和领蹄的受力状况,提高车辆的行车安全性和领蹄摩擦片的耐磨性:从蹄的受力均匀性有待进一步提高.     

微型客车气动阻力性能研究及优化设计

综合利用计算流体力学数值仿真分析与风洞试验验证相结合的方法对某量产微型客车进行整车全细节空气动力学仿真分析和研究。对比分析前保险杠、后视镜、车窗等零部件对气动阻力的影响。研究表明,采用优化前保险杠并增加导流板、修改后视镜造型、车窗一体化设计等方案,可使该车气动阻力系数减少约6%。     

汽车零部件物流越库配送系统的多重响应优化

提出了一种离散动态系统仿真和响应面元模型相结合的优化方法,对汽车零部件物流越库中心内部设计的多重绩效(零部件吞吐量与平均运作时间)进行优化.在越库中心实际运作的基础上,借助Arena模拟越库的内部运作流程,选取一部分重要内部构件作为系统绩效的设计变量,根据仿真实验的结果拟合出吞吐量和运作时间的响应面元模型,识别出越库中心设计的关键因子,并找出3种目标下最大化绩效的因子组合.优化结果表明,优化后的越库能大大改进系统绩效,所采用的方法可用于零部件的越库实践.     

基于驾驶员转向操作特性的疲劳驾驶检测

本文旨在利用驾驶模拟器开展疲劳驾驶试验,研究疲劳驾驶的检测方法.首先采用面部视频的专家评分方法,建立驾驶员3级疲劳(清醒、疲劳和非常疲劳)的样本数据库;然后定量提取描述疲劳操作特性的特征指标,采用序列浮动前向选择算法筛选最优的特征指标组合,最终建立了一种基于SVM的驾驶员3级疲劳的在线检测算法.测试结果表明,驾驶模拟器工况下,本文算法识别3级疲劳的准确率达到87.7％,具有较高的鲁棒性和实用性.