高速船螺旋桨无键联接液压装配技术分析

在高速船螺旋桨无键联接液压装配尚无相关标准的情况下,基于大型船舶的安装标准和工艺,通过分析高速船螺旋桨无键联接液压装配技术理论,结合船舶安装实例,总结出适合于高速船螺旋桨无键联接液压装配的经验参数。     

敷设抗冲瓦后舰船的阻力性能试验

抗冲瓦是一种能实现对水下非接触爆炸载荷整体冲击隔离同时又能隔离舰艇自身辐射噪声的新概念产品.但因其敷设于舰艇水线以下湿表面将对舰船的航行阻力产生影响.为此,在拖曳水池中对试验船模开展了敷设抗冲瓦前后的阻力性能对比试验.试验分析了抗冲瓦在水动力载荷作用下的弹性变形,探讨了敷设抗冲瓦后对不同阻力成分的影响.试验结果表明,舰...     

舰船辐射噪声特征建模

介绍一种舰船辐射噪声1/3 Oct谱模型建立方法.通过分别对机械噪声、螺旋桨直接辐射噪声及桨轴激励艇体振动噪声的特征规律研究,建立了机械和螺旋桨的额定声压脉动谱模型及桨轴激励艇体响应函数模型.根据机械噪声和螺旋桨噪声同航速的变化关系,得到不同转速下的合成辐射噪声1/3 Oct谱.利用Matlab GUI编写舰船辐射噪声...     

潜艇水压平衡式发射装置内弹道仿真建模

通过对潜艇水压平衡式发射装置工作原理的分析,基于发射装置各部分之间的联立关系,建立了发射装置发射气瓶及发射阀部分、活塞组件部分、发射管武器部分等各子系统的数学模型。应用Simulink对潜艇水压平衡式发射装置武器发射内弹道的全过程进行仿真研究,Simulink仿真结果与武器发射的实际情况相符合,表明数学模型的可行性和正确性。所建仿真模型可用于潜艇水压平衡式发射装置内弹道的动态分析及相关问题研究。     

船用曳引式升降机动力学建模及仿真分析

对船用升降机动态特性的研究一直以来都是升降机研究领域的一个薄弱环节。针对船用升降机的特殊性,根据曳引式升降机的物理模型建立升降机垂直方向上的动力学模型,并结合模态分析法研究该模型,得出升降机位置对其固有频率的影响。以船体振动中螺旋桨和主机振动频率为激励频率,将理想电气速度曲线引入系统中,运用Matlab软件模拟系统响应的全过程,得出船用升降机的一些基本运行特性。     

夹层结构模型假设对振动和声传输特性影响研究

不同模型假定下夹层结构的声振特性各不相同。基于Reissner模型和Zig-Zag模型位移场假设,分别建立了两种复合材料夹层板有限元动力单元模型,并通过推导的模型编制了计算程序,采用子空间迭代法求得了其固有频率和固有振型,采用混响声场声传输理论计算了传声损失,并对夹层板的动力特性和声传输特性进行了数值模拟研究,同时还考虑了夹层结构面板与芯板的厚度比和弹性模量比不同时各种模型的适用范围。     

50t手动液压压力机的设计与维修

为提高工作效率,减轻劳动强度,公司利用液压传动原理设计了一台50t手动液压压力机.介绍了液压压力机的构造工作原理和主要部件的选择.并介绍了机架构造及强度计算.最后介绍了几种常见故障及维修方法.     

A generic class of first order node models for dynamic macroscopic simulation of traffic flows

Node models for macroscopic simulation have attracted relatively little attention in the literature. Nevertheless, in dynamic network loading (DNL) models for congested road networks, node models are as important as the extensively studied link models. This paper provides an overview of macroscopic node models found in the literature, explaining both their contributions and shortcomings. A formulation defining a generic class of first order macroscopic node models is presented, satisfying a list of requirements necessary to produce node models with realistic, consistent results. Defining a specific node model instance of this class requires the specification of a supply constraint interaction rule and (optionally) node supply constraints. Following this theoretical discussion, specific macroscopic node model instances for unsignalized and signalized intersections are proposed. These models apply an oriented capacity proportional distribution of the available supply over the incoming links of a node. A computationally efficient algorithm to solve the node models exactly is included.     

A shockwave profile model for traffic flow on congested urban arterials

In this paper a new traffic flow model for congested arterial networks, named shockwave profile model (SPM), is presented. Taking advantage of the fact that traffic states within a congested link can be simplified as free-flow, saturated, and jammed conditions, SPM simulates traffic dynamics by analytically deriving the trajectories of four major shockwaves: queuing, discharge, departure, and compression waves. Unlike conventional macroscopic models, in which space is often discretized into small cells for numerical solutions, SPM treats each homogeneous road segment with constant capacity as a section; and the queuing dynamics within each section are described by tracing the shockwave fronts. SPM is particularly suitable for simulating traffic flow on congested signalized arterials especially with queue spillover problems, where the steady-state periodic pattern of queue build-up and dissipation process may break down. Depending on when and where spillover occurs along a signalized arterial, a large number of queuing patterns may be possible. Therefore it becomes difficult to apply the conventional approach directly to track shockwave fronts. To overcome this difficulty, a novel approach is proposed as part of the SPM, in which queue spillover is treated as either extending a red phase or creating new smaller cycles, so that the analytical solutions for tracing the shockwave fronts can be easily applied. Since only the essential features of arterial traffic flow, i.e., queue build-up and dissipation, are considered, SPM significantly reduces the computational load and improves the numerical efficiency. We further validated SPM using real-world traffic signal data collected from a major arterial in the Twin Cities. The results clearly demonstrate the effectiveness and accuracy of the model. We expect that in the future this model can be applied in a number of real-time applications such as arterial performance prediction and signal optimization.     

The multinomial logit model revisited: A semi-parametric approach in discrete choice analysis

The multinomial logit model in discrete choice analysis is widely used in transport research. It has long been known that the Gumbel distribution forms the basis of the multinomial logit model. Although the Gumbel distribution is a good approximation in some applications such as route choice problems, it is chosen mainly for mathematical convenience. This can be restrictive in many other scenarios in practice. In this paper we show that the assumption of the Gumbel distribution can be substantially relaxed to include a large class of distributions that is stable with respect to the minimum operation. The distributions in the class allow heteroscedastic variances. We then seek a transformation that stabilizes the heteroscedastic variances. We show that this leads to a semi-parametric choice model which links the linear combination of travel-related attributes to the choice probabilities via an unknown sensitivity function. This sensitivity function reflects the degree of travelers’ sensitivity to the changes in the combined travel cost. The estimation of the semi-parametric choice model is also investigated and empirical studies are used to illustrate the developed method.