MULTI-FLEXIBLE SYSTEM DYNAMIC MODELING THEORY AND APPLICATION

IntroductionCommonly,a mechanical system consists ofseveral parts. They are combined by series of geo-metrical bounds in order to accomplish expectedmotions.Therefore,if every part in the system isregarded as a rigid body,the system is called mul-ti- rigid system;but if some parts' deformationcannot be ignored,the system is called multi- flexi-ble system or flexible multi- body system[1,2 ] .Nowadays,with the world economy' s rapiddevelopment and marketglobalization,itis key forenterprises' ex…     

微型电动汽车后悬架设计

在当今社会,汽车已经发展成人们日常生活中的代步工具,更快更舒适成为了今后汽车的研究方向,因此悬架系统成为了人们首要的研究目标。本设计以两座电动汽车后悬架为研究对象,通过对两种类型的悬架的优缺点进行对比,选取最适合两座电动汽车后悬架的悬架类型,采用非独立悬架以达到制造简便、方便维修且结构简单的目的。对后悬架的弹性元件和减震器进行计算,确定其弹性元件和减震器等零部件的具体数值并进行校核,确保计算所得的数据符合设计要求,并运用CATIA建模。     

基于ADVISOR的电动汽车动力性能仿真分析

在某微型燃油汽车底盘基础上,设计以铅酸蓄电池组和无刷直流电动机驱动的电动汽车动力系统。利用ADVISOR仿真软件,建立蓄电池、电动机及驱动系统和整车仿真模型。经过对该车整车动力性能仿真分析,表明该车动力系统设计方案是实用、可行的。     

面向对象的桥梁CAD建模分析

在桥梁设计过程中,将大量复杂而繁琐的设计计算、图表查询等任务交给计算机去完成,是桥梁CAD系统要完成的主要工作之一。过去,这种CAD系统的开发均采用面向过程的建模方法,用这种方法所得到的程序提供的一个面向工程的桥梁设计计算程序,不仅可读性差,更致命的是条件稍做更改,程序便要做相当大的变动,且可扩充性及可维护性差。将20世纪90年代的设计方法——面向对象技术应用于这类系统之上,是桥梁CAD系统今后发展的方向之一。适应这一发展要求,进行桥梁CAD系统面向对象的建模方法研究具有重要的意义。     

UML状态图映射为Petri网模型的方法研究

UML广泛应用于软件建模,然而UML是半形式化的,这使得很难对其进行严格的语义分析和正确性验证。状态图作为UML动态描述机制的重要组成部分,同样存在这样的问题。Petri网作为一种图形化建模工具,具有严格的形式化语法语义,而且有很多成熟的分析方法。本文提出了将UML状态图映射为Petri网模型的方法,并结合实例对映射后的模型进行分析,验证了模型的一系列正确性。     

混合动力客车制动能量回馈及控制仿真研究

基于AVL Cruise软件建立了并联式混合动力客车模型,设计了并联混合动力客车控制策略,在纯电机制动模式和机电混合制动模式下对混合动力客车的能量再生制动进行了仿真。仿真结果表明：在纯电机制动模式下能较充分回收汽车制动动能,但是制动效能较低;在机电混合制动模式下,制动效能高,与纯机械制动效能基本一致,但电机再生制动回收能量的效果不很明显。     

Research on probability distribution of port cargo throughput

In order to more accurately examine developing trends in gross cargo throughput, we have modeled the probability distribution of cargo throughput. Gross cargo throughput is determined by the time spent by cargo ships in the port and the operating efficiency of handling equipment. Gross cargo throughput is the sum of all compound variables determining each aspect of cargo throughput for every cargo ship arriving at the port. Probability distribution was determined using the Wald equation. The results show that the variability of gross cargo throughput primarily depends on the different times required by different cargo ships arriving at the port. This model overcomes the shortcoming of previous models： inability to accurately determine the probability of a specific value of future gross cargo throughput. Our proposed model of cargo throughput depends on the relationship between time required by a cargo ship arriving at the port and the operational capacity of handling equipment at the port. At the same time, key factors affecting gross cargo throughput are analyzed. In order to test the efficiency of the model, the cargo volume of a port in Shandong Province was used as an example. In the case study the actual results matched our theoretical analysis.     

双离合器混合动力轻型客车前向式建模与仿真

根据前向建模的思想建立了基于Matlab/Simulink平台的双离合器混合动力轻型客车前向仿真整车模型、双离合器和ISG电机等主要部件模型,模型既可以用踏板信号作为输入来运行,也可以实现循环工况运行。还制定了动力系统控制策略并建立控制策略模型。根据仿真模型,对其控制策略进行仿真研究,得到整车动力性和燃油经济性等仿真结果,验证了该控制策略的可行性。     

基于达索3DE平台的组合梁拱桥BIM设计应用

随着桥梁技术的不断发展,拱桥的形式日新月异,使得设计工作难度大大增加.现以深汕大桥工程为案例,在深化设计阶段基于参数化、模板化设计思路应用达索3DE平台(2015X)建立包括主拱、主梁、吊杆、墩台基础、桥面附属工程等结构的一整套组合梁拱桥梁构件库,并完成了全线桥梁的BIM建模、基于BIM模型辅助设计校核、与结构计算分析...     

Competing risk mixture model and text analysis for sequential incident duration prediction

Predicting the duration of traffic incidents sequentially during the incident clearance period is helpful in deploying efficient measures and minimizing traffic congestion related to such incidents. This study proposes a competing risk mixture hazard-based model to analyze the effect of various factors on traffic incident duration and predict the duration sequentially. First, topic modeling, a text analysis technique, is used to process the textual features of the traffic incident to extract time-dependent topics. Given four specific clearance methods and the uncertainty of these methods when used during traffic incidents, the proposed mixture model uses the multinomial logistic model and parametric hazard-based model to assess the influence of covariates on the probability of clearance methods and on the duration of the incident. Subsequently, the performance of estimated mixture model in sequentially predicting the incident duration is compared with that of the non-mixture model. The prediction results show that the presented mixture model outperforms the non-mixture model.