翼身融合水下滑翔机运动仿真分析

针对回转体形状的水下滑翔机浅海水域滑翔能力弱的问题,以翼身融合水下滑翔机为研究对象,对其进行垂直面动力学模型的建立,并采用MATLAB/Simulink搭建运动模型仿真系统进行开环运动响应研究,分析执行机构的调节速度、浮力调节机构布局方式对水下滑翔机运动性能的影响,得到有利于浅海水域滑翔作业的解决方案;研究水下滑翔机系统输入对运动响应参数的影响程度和定量关系,分析水下滑翔机翼身融合水下滑翔机滑翔比与运动角度关系,得到小角度滑翔可充分利用大滑翔比优势适应浅海水域滑翔作业的结论。     

“君旅号”电动船直流母排系统选择性保护仿真与试验研究

电动船直流系统的安全性关系到电池安全、功率变换装置安全、日用电的安全以及航行安全,必须保证直流母排系统短路故障时保护的选择性。本文以电动游船"君旅号"为背景,介绍电动船电力推进系统直流母排系统短路故障选择性保护设计的原理、方法和效果,能够为之后的电动船的研究、设计、建造提供借鉴。     

城市混合动力公交车的造型设计

城市混合动力公交车设计是一种综合设计,涉及到工程技术与艺术造型的诸多方面。论述了混合动力车造型的整体布局、局部造型以及造型设计过程的特点和趋势,详细分析了混合动力车造型设计中的准备、构思、完善和实施的四个阶段。     

船舶结构有限元模型快速生成研究

寻求一种快速的船舶有限元建模方法一直是船舶设计工作者努力的课题,直接利用AutoCAD中的二维结构图快速生成船舶结构的三维有限元模型,是一种自动化程度较高、快速性较好的方法,通过介绍船舶结构有限元模型数据的计算生成方法等,体现了其在船舶结构有限元建模上的优越性及局限性,以利于深入开展研究.     

Petri网及其维修建模应用研究

Petri网描述异步并发的能力和形象直观的图形表示，使之成为系统维修过程模型描述的有力工具。文章在对Petri网的基本概念、模型描述方法作简要介绍基础上，分别就不可修系统、可修系统、维修资源共享、维修优先级以及维修费用等维修过程问题，进行了Petri网模型描述。     

Impact of simulation-based traffic noise on rent prices

This paper is part of ongoing research on incorporating environmental aspects in microscopic integrated land use/transport models. The long-term goal is to add scenario sensitivity for noise emissions in a new modeling suite. Therefore, as a first step, the influence of simulated car traffic noise on real rent prices in the study area in question is analyzed and compared to existing studies. It is shown that modeled noise values from the transportation model are able to explain significant impacts on rent prices when using a hedonic pricing regression. When using noise as a continuous variable, price discounts of 0.4% per dB(A) are found. A discount of up to 9.6% for particularly loud locations is estimated when noise is used as a categorical variable. Care should be taken when controlling for accessibilities that may correlate with noise. The results are in line with results of previous studies and confirm that environmental aspects can and should be considered in integrated models.     

Experimental modeling of controlled suspension vehicles from onboard sensors

In this article, identification of vertical dynamics of vehicles with controlled suspensions is considered. Identification is performed from experimental data measured on a four-poster bench test of a segment C car, equipped with a CDC-Skyhook dampers control system. The measurements are obtained from the onboard accelerometers needed by the control system. A nonlinear model in regression form is identified, having the road profile and damper control currents as inputs and chassis accelerations as outputs. The model is identified by means of a set membership structured identification method, which takes advantage of physical information on the structure of the system, decomposing the system into three subsystems: one represents the chassis and engine and the other two represent the overall behavior of front and rear suspensions, wheels and tires. This decomposition allows us to avoid the complexity accuracy problems derived from the high dimension of required regression space. Indeed, the overall high-dimensional identification problem is reduced to the identification of lower dimensional subsystems and to the estimation of their interactions. An iterative scheme is used for solving the decomposed identification problem. As the chassis pitch is small for the usual road profiles, the chassis-engine block is considered linear and standard linear methods are used for its identification. The other two subsystems are the main sources of nonlinearities in the system, mainly due to the significant nonlinearities of controlled dampers and of tires. Owing to the complexity/accuracy problems of a physical modeling of these subsystems, an input–output approach is taken. In particular, a nonlinear set membership method that does not require the search of the functional form of involved nonlinearities is used for the identification of these subsystems. The iterative algorithm converged in two iterations to a model providing a quite satisfactory simulation accuracy for all the considered road profiles and CDC-Skyhook settings.     

舰船柴油机的模块化建模与仿真

在柴燃联合动力装置半物理仿真平台的研究中，要求建立的柴油机模型能够较准确地反映瞬态过程中各主要参数的变化，满足进行实时仿真对模型的要求，同时具有通用性，以提高仿真模型的重复利用率。使用容积法建立涡轮增压柴油机模型，可以避免准稳态法中流量和压力关系的迭代计算，同时对计算量的要求又在合理的范围内。在大型系统仿真软件Easy5的支持下，采用了模块化的建模和仿真方法，利用已建立的舰船柴油机的模块库，可以连接组合模块建立各种配置的舰船柴油机模型。作为应用实例，建立了相继增压柴油机模型，并进行动态仿真。     

S型电气绝缘节的建模与仿真

针对无绝缘轨道电路中S型电气绝缘节 ,本文运用电路理论中的支路电流法讨论了其数学模型的建立与仿真算法的实现 ,给出了绝缘节分别在空载和有负载两种情况下的几种典型特性曲线 ,并进一步分析了绝缘节的输入阻抗、电压传输及电气隔离特性。其各种数字仿真结果与实物测试结果具有相近的变化趋势 ,仿真精度满足要求。结果表明 :该模型能够很好地模拟S型绝缘节的电气特性 ,为S型绝缘节的设计提供了有力的分析工具。     

大数据背景下的路径选择行为建模

路径选择建模的主要任务是基于合理假设，定量分析交通参与者的路径选择行为，并估计和预测交通参与者对交通网络的使用情况。基于此，全面总结路径选择建模的研究现状，介绍各种出行数据的特点，阐释常见的选择集生成方法，对文献中提出的众多离散选择模型进行归类和讨论，对比模型估计的2类主要方法，并展望机器学习在路径选择建模中的广阔前景。研究结果表明：随着交通感知技术的全息化发展，在海量车辆轨迹数据的支撑下，路径选择研究取得了全方位的进步；路径选择模型可分为基于路径和基于路段的模型，前者以路径为基本选项，从通过确定性或随机性方法生成的选择集中选择路径，包括多项Logit （MNL）模型以及更先进的MNL修正模型、广义极值（GEV）模型、混合Logit模型和非GEV分布模型，后者以路段为基本选项，动态地求解路径选择问题，无需生成选择集，包括各种递归Logit模型；路径选择模型的参数估计可使用有标签数据或无标签数据，前者通过地图匹配在交通网络中重构出真实路径，后者则依概率考虑一系列可能的路径。近年来，基于机器学习的路径选择模型因具有更优的预测性能而受到广泛关注。在未来的路径选择研究中，应进一步结合离散选择模型和机器学习模型，使两者优势互补。