Parameter identification for a LuGre model based on steady-state tire conditions

The purpose of this study was to effectively identify parameters for a LuGre friction model based on experimental measures. In earlier work related to this study (Yang et al., 2009), which was based on the characters of polygonal wear (Sueoka and Ryu, 1997), we showed a frictional vibration model for a mass on a moving belt. This model reflected lateral vibrations caused by velocity and toe-in angle. An important aspect of the present study is the improved friction model. A previous friction model, which divided the process into four parts, expressed the sable excited vibration well but failed to reflect the hysteresis loop change when vehicles accelerated or decelerated continuously. A LuGre friction model can solve this problem, but several model parameters must be obtained experimentally. We measured contact width and length of tires as vertical pressure changed; this provided a theoretical basis for apparent stiffness of a unit of tire tread. Based on tire data from Bakker E’s article in a SAE paper from 1987, we identified the Stribeck exponent and Stribeck velocity in LuGre. Then, the results were implemented in a vibration system that verified the rationality of the data.     

Competition and disruption in a dynamic urban supply chain

Rapid changes and complexities in business environments have stressed the importance of interactions between partners and competitors, leading supply chains to become the most important element of contemporary business environments. There is a concomitant need for foresight in describing supply chain performance in all operating environments, including those involving punctuated disruptions. Furthermore, the urban metropolis is now widely recognized to be an environment which is especially vulnerable to supply chain disruptions and for which integrated supply chain decisions can produce very substantial net benefits. Accordingly, this paper presents a dynamic supply chain network model formulated as a differential variational inequality; the model is fashioned to allow consideration of supply chain disruption threats to producers, freight carriers, and retail enterprises. The DVI is solved using a fixed-point algorithm, and a simple numerical example, introduced to illustrate how the impacts of supply chain disruptions may be quantified, is presented.     

Approximate network loading and dual-time-scale dynamic user equilibrium

In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand evolution. Our formulation belongs to the problem class that Pang and Stewart (2008) refer to as differential variational inequalities. It combines the within-day time scale for which route and departure time choices fluctuate in continuous time with the day-to-day time scale for which demand evolves in discrete time steps. Our formulation is consistent with the often told story that drivers adjust their travel demands at the end of every day based on their congestion experience during one or more previous days. We show that analysis of the within-day assignment model is tremendously simplified by expressing dynamic user equilibrium as a differential variational inequality. We also show there is a class of day-to-day demand growth models that allow the dual-time-scale formulation to be decomposed by time-stepping to yield a sequence of continuous time, single-day, dynamic user equilibrium problems. To solve the single-day DUE problems arising during time-stepping, it is necessary to repeatedly solve a dynamic network loading problem. We observe that the network loading phase of DUE computation generally constitutes a differential algebraic equation (DAE) system, and we show that the DAE system for network loading based on the link delay model (LDM) of Friesz et al. (1993) may be approximated by a system of ordinary differential equations (ODEs). That system of ODEs, as we demonstrate, may be efficiently solved using traditional numerical methods for such problems. To compute an actual dynamic user equilibrium, we introduce a continuous time fixed-point algorithm and prove its convergence for effective path delay operators that allow a limited type of nonmonotone path delay. We show that our DUE algorithm is compatible with network loading based on the LDM and the cell transmission model (CTM) due to Daganzo (1995). We provide a numerical example based on the much studied Sioux Falls network.     

海底单层保温管线总传热系数分析

总传热系数K是海底热油管道的运行管理中的一个非常关键的参数.文中通过对中海油涠洲11 -1油田至涠洲12 -1油田之间的海底管道总传热系数进行理论计算,并与投产前根据实际预热数据反算的总传热系数进行对比,得出理论计算的总传热系数与实际预热反算得到的总传热系数相近,同时指出海管接口的散热损失较大,海底管线应对接口部分进行...     

偏压隧道处治措施及稳定性分析

以上瑞高速公路怀新段第8合同段青山冲隧道为工程实例,针对左线出口端洞口浅埋偏压情况,为了节约工程投资,实施了反压回填的处治方案,采用数值模拟分析及现场监控量测数据分析了偏压隧道支护结构的受力状态和稳定性,可供类似工程参考.     

锂离子电池应用于潜艇动力可行性分析

本文总结了锂离子动力电池特点,分析了潜艇环境对锂离子动力电池提出的要求,立足我国现有锂离子动力电池产业现状,简要梳理了我国锂离子动力电池在潜艇上应用所面临的问题,并得出体积比能量与电池安全性是锂离子动力电池装艇应用需要解决的关键问题的结论.     

潜艇新型作战系统发展构想

本文分析了潜艇作战系统的现状及发展趋势,并提出了对未来潜艇新型作战系统的功能目标和体系架构的发展设想和研究思路.     

集装箱物联网的应用前景

物联网被称为继计算机、互联网之后世界信息产业的第三次浪潮。[1]2009年温家宝总理基于物联网技术发展提出"感知中国"理念并将其上升为国家战略,美国总统奥巴马也把IBM基于物联网技术提出的"智慧地球"理念上升为国家战略。由此可见,当前许多国家都把发展新兴产业的突破口聚焦     

柴油机电控单体泵高速电磁阀驱动设计

介绍了柴油机电控单体泵高速电磁阀工作原理及其特点,基于Matlab Simulink对其驱动控制方式进行了仿真分析,给出了单体泵高速电磁阀控制的关键技术。结合分析结果通过对其驱动电路进行了设计,实现了单体泵电磁阀的快速开启与截止,从而精确控制喷油量。