汽车进气系统轰鸣声传递路径分析

为了消除进气系统带来的车内噪声问题,运用传递路径分析方法,“源-路径-响应”的分析思路,总结了进气系统噪声问题的传递路径,结合某轿车进气系统轰鸣声问题的改进,发现结构传递路径和空气传递路径对该进气轰鸣声均有重要贡献,通过降低空气滤清器安装点橡胶软垫的硬度和加强安装点车身侧支架,可有效降低车内轰鸣声。     

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基于通信的列车控制系统是我国铁路信号技术发展的一个重要方向，本文在分析了基于通信的列车控制系统结构的基础上，采用有色Petri网方法对该系统进行建模仿真研究.有色Petri网是一种以图形形式描述系统结构、功能的建模分析方法，特别适合大型异步并发系统的建模与仿真.为了使模型简洁清楚，提出了分整体层、处理层和功能层三部分建立相应的系统有色Petri网图的分析方法，并用CPN /Tools工具软件来实现.通过建立一个墓于通信的列车控制系统的有色Petri网模型，为最终开发出该系统的软件仿真平台莫定了良好的基拙.     

统计能量法及其在提速客车噪声预测中的应用

为了预测提速客车内部噪声能量分布及噪声传递路径，用统计能量法对其进行了分析，讨论了统计能量法分析复杂振声系统的基本原理及稳态振声系统统计能量分析的基本方程．以唐山车辆厂提速客车为应用实例，获得了车内总的声功率在车底架、窗玻璃等主要传递路径上的能量分布，并给出了车窗双层玻璃不同厚度的高频响应以及车底架地板涂抹阻尼材料吸收低频声能的机理的治理措施。     

港口岸线环境补偿人工沙滩工程理论与实践

依托港口岸线建设环境补偿人工沙滩工程是践行国家生态文明建设战略,实现港、城一体化发展的有益举措。针对人工沙滩建设中的理论和关键技术问题,通过自主研发,取得以下主要创新性成果:1)发展了沙、泥并存下沙滩动力地貌学基础理论;2)形成先进的数值、物理模拟技术;3)提出适用于各种复杂泥沙环境下的人工沙滩设计原则;4)研发了人工沙滩防侵蚀、防泥化的整治与养护措施。研究成果已成功应用于不同复杂泥沙环境下的实际沙滩工程中,实现了良好的经济、社会和生态环境效益,具有广阔的推广应用前景。     

游艇码头定位桩内力分析

定位桩是游艇码头的一种重要锚碇形式,现行规范对游艇码头风荷载、波浪荷载等规定存在不详尽之处,为完善游艇码头定位桩的计算分析,采用ANSYS有限元软件对游艇码头在风荷载和波浪荷载作用下的受力情况进行分析,对游艇码头定位桩计算提出合理建议,建议游艇码头计算采用整体建模,风荷载的遮挡效应应考虑船型、受风高度、船舶间距等因素。     

BIM技术在深圳机场三跑道填海工程设计中的应用

针对BIM技术在填海工程设计中的应用,深圳机场三跑道填海工程设计中采用AUTODESK平台,以基于云端的协同平台进行协同设计,将各专业更加紧密地联系在一起,解决了传统设计的沟通、协调难题,且根据勘察资料创建三维地质模型,并采用Civil 3D软件进行基槽和海堤施工图设计,提高设计效率及精度,为BIM技术在水运行业的推广及应用提供借鉴。     

基于相关性模型的舰船系统测试性建模与分析

本文提出一种基于相关性模型的舰船系统级产品的测试性建模与分析方法.该方法通过建立产品任务模型、相关性图示模型等,利用一阶相关性列矢量法求解产品的相关性数学模型,进而建立产品诊断树和进行测试性预计,并为优化产品诊断策略提供建议.同时,根据舰用燃气轮机滑油系统组成和任务特征,建立其典型任务模型并进行精简,并在此基础上进行测试性建模、诊断树建立、测试性预计以及诊断策略优化等工作,为舰船系统级产品的测试性建模、分析和诊断策略研究提供新思路和手段.     

基于任务需要的海警大型舰艇基本需求建模与分析

以线性和非线性需求结合方式建立了以满足任务需要为条件的海警大型舰艇基本需求组合模型,预测计算了多个样本国海警大型舰艇基本需求数,结果表明该模型有一定的实用性.据此对中国海警大型舰艇基本需求进行预测,预测结果可对中国海警大型舰艇发展规划提供参考.     

Simulating ad-hoc demand-responsive transportation: a comparison of three approaches

Transport models are used to evaluate new infrastructure and public transport services, varied levels of demand, and new ideas for demand management. Exploring these proposals virtually is easier than implementation and testing in situ. However, existing models are based around traditional forms of transportation. As part of a feature analysis using a case study approach, three different simulation packages (a simple custom-developed package, traffic microsimulation, and agent-based simulation) are used to develop and demonstrate simulations of demand-responsive transportation (DRT) and analyze the advantages and disadvantages of each simulation approach for evaluating DRT. While the simulations display some relational replication (meaning they produce similar relational patterns with respect to certain variables), they do not show distributional replication (that is, the value of the results is not statistically similar), meaning that under- or over-estimation of predicted travel could occur. Recommendations for the application of each modeling approach are made.     

The Bid-rent Land Use Model of the simple,efficient, elegant,and effective model of land use and transportation

Integrated land use/transportation forecasting models add significant policy and infrastructure alternatives analysis capabilities to the urban planning process. The financial, time, and staff requirements to develop these models has put them beyond the reach of most small to medium sized urban areas. This paper presents the land use allocation submodel of the Simple, Efficient, Elegant, and Effective model of land use and transportation (SE³M), an integrated land use and transportation forecasting model founded upon Economic Base Theory and Bid-rent Theory. The Bid-rent Land Use Model (BLUM) is an agent based, spatial competition model utilizing unique utility curves for willingness to pay and incomes for budget constrained abilities to pay for each agent. The model structure, estimation, calibration, implementation, and validation are presented. With a single year of land use data available, the validation approach used the Kappa Index of Agreement to spatially check model outputs against base year control data while controlling for agreement by chance. The U.S. territory of Guam is used as the case study/proof of concept implementation for this model framework. Once calibrated, BLUM could solve the spatial competition problem on Guam in less than two minutes of processing time with over 90% accuracy.