柴油机进气道流通特性的分析与设计

选取UG和Matlab软件作为进气道开发平台;通过引入表征气道面积利用率的函数分析了气门喉口处的流通特性;并应用正向设计方法直接得到了进气道CAD实体模型.由于正向设计方法增加了缸盖设计方案选择的多样性,为缸盖冷却水套流场优化和机械强度校核提供了更富余的调整空间.     

关于油品码头电气选择的相关问题

根据收集整理的油品码头及其相关设施的设计施工规范中,关于火灾和爆炸危险区域划分的资料,给出装卸油品码头常见物料爆炸性气体混合物的分级、分组表.结合具体工程实例,介绍油品码头电气设计的选型原则和方法,可供同类工程参考.     

岩堆形成机理及其路基稳定措施研究

岩堆是岩石山坡经过物理、化学作用,形成岩石碎块、岩屑后,通过重力或雨水作用搬运至平缓山坡或山坡坡脚上的疏松堆积物体,属于典型的不良工程地质灾害。文中系统地分析了岩堆的工程地质特征、形态和分类,研究了岩堆的形成机理、破坏模式及稳定性,提出了岩堆路段路基稳定措施。     

信息优势对作战影响的度量研究

文章分析了信息对作战的影响是如何作用的,构造了一种基于对策论的研究信息优势影响度量的模型,然后通过对持续封锁中的拦截问题进行构造模型和实验设计,提出了一种度量信息优势对作战的影响的思路。     

双曲拱桥拆除方案研究

双曲拱桥在上世纪60年代至80年代应用广泛,但是由于其存在整体性差,有水平推力,荷载等级低,通航空间小等问题,现已较少采用,已建的双曲拱桥也在逐步拆除。该文通过对苏州市新郭桥的拆除方案进行研究,对此种桥型拆除过程中可能发生的问题进行了探讨,并给出了解决方法。同时对其他可行的拆除方法也进行了介绍。     

钢箱法在RC梁加固中的应用研究

该文以兰州市东岗立交桥为工程背景,依据影响桥梁承载力的主要因素及钢箱法加固的原理和优点,对该桥进行钢箱加固,通过粘钢加固和钢箱加固两种方案,对加固前后在理论数据上的对比与分析,论证了钢箱加固后该桥的承载力较粘钢加固后有很大的提高,证明了钢箱法加固桥梁的实际效用,并为以后同类桥型的加固提供了一定的参考。     

Integration of a single cylinder engine model and a boost system model for efficient numerical mapping of engine performance and fuel consumption

A numerical engine mapping methodology is proposed for the engine performance and fuel consumption map generation. An integrated model is developed by coupling a single cylinder GT-Power® engine model with a MATLAB/ Simulink® based boost system model to simulate a turbocharged diesel engine over the entire engine operating speed and load ranges within reasonable computational constraints. A single cylinder engine model with the built-in multi-zone combustion modeling option in GT-Power® is configured as a predictive engine model. The cycle averaged simulation result from the engine model is used as the boundary conditions of the boost system including intake and exhaust manifolds and a turbocharger. The boost system model developed in MATLAB/Simulink® platform calculates the intake and exhaust conditions which are fed back to the engine model. The integrated system model predicts the performance and fuel consumption of a turbocharged diesel engine with better predictive capability than mean value engine models. Its computational time is fast enough to simulate the engine over the entire engine operation range compared to multi-cylinder engine models.     

Possible experimental method to determine the suspension parameters in a simplified model of a passenger car

Currently, as well as in the past, researchers have shown great interest in developing suspension systems for vehicles and especially in the design and optimization of the suspension parameters, such as the stiffness and the damping coefficient. These parameters are considered to be important factors that have an influence on safety and improve the comfort of the passengers in the vehicle. This paper describes a simplified methodology to determine, in a quick manner, the suspension parameters for different types of passenger cars equipped with passive suspension systems. Currently, different types of passenger cars are produced with different types of suspension systems. Finding a simplified methodology to determine these parameters with sufficient accuracy would contribute a simplified and quick method to the inspection of the working conditions of a suspension system. Therefore, a simple system to determine these parameters is needed. An analysis of the suspension parameters is performed using mathematical modeling and numerical analysis conducted using the Working Model software. The result derived from the developed methodology shows small errors when compared with the generic values, and it can be concluded that the design of the suspension parameter measurement device using the developed methodology is useful, simple, and has sufficient accuracy.     

Fuzzy energy management strategy for a hybrid electric vehicle based on driving cycle recognition

By considering the effect of the driving cycle on the energy management strategy (EMS), a fuzzy EMS based on driving cycle recognition is proposed to improve the fuel economy of a parallel hybrid electric vehicle. The EMS is composed of driving cycle recognition and a fuzzy torque distribution controller. The current driving cycle is recognized by learning vector quantization in driving cycle recognition. The torque of the engine and the motor is controlled by a fuzzy torque distribution controller based on the required torque of the hybrid powertrain and the battery state of charge. The membership functions and rules of the fuzzy torque distribution controller are optimized simultaneously by using particle swarm optimization. Based on the identification results of driving cycle recognition, the fuzzy torque distribution controller selects the corresponding membership function and rule to control the hybrid powertrain. The simulation research based on ADVISOR demonstrates that this EMS improves fuel economy more effectively than fuzzy EMS without driving cycle recognition.