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21.
通过对LTL4500型沥青摊铺机液压系统现有故障诊断方案进行分析,探讨了计算机辅助故障诊断技术的可行性,同时总结出一种确定最佳维修期的方法。  相似文献   
22.
夏晶晶 《公路交通科技》2005,22(12):148-151
汽车DYC装置可以通过产生横摆力矩克服过多转向或不足转向,提高汽车高速和恶劣道路等极限条件下的操纵稳定性。对汽车DYC装置的液压系统特性进行了分析,建立了液压回路和制动器模型,分析了液压系统的工作原理和工作过程,并运用matlab/simulink对液压系统进行建模与仿真。  相似文献   
23.
This contribution puts forward a novel multi-class continuum model that captures some of the key dynamic features of pedestrian flows. It considers route choice behaviour on both the strategic (pre-trip) and tactical (en-route) level. To achieve this, we put forward a class-specific equilibrium direction relation of the pedestrians, which is governed by two parts: one part describing the global route choice, which is pre-determined based on the expectations of the pedestrians, and one part describing the local route choice, which is a density-gradient dependent term that reflects local adaptations based on prevailing flow conditions.Including the local route choice term in the multi-class model causes first of all dispersion of the flow: pedestrians will move away from high density areas in order to reduce their overall walking costs. Second of all, for the crossing flow and bi-directional flow cases, local route choice causes well known self-organised patterns to emerge (i.e. diagonal stripes and bi-directional lanes). We study under which demand conditions self-organisation occurs and fails, as well as what the impact is of the choices of the different model parameters. In particular, the differences in the weights reflecting the impact of the own and the other classes appear to have a very strong impact on the self-organisation process.  相似文献   
24.
Transport choices are not merely practical decisions but steeped in cultural and societal perceptions. Understanding these latent drivers of behaviour will allow countries to develop and import policies to more successfully promote sustainable transport. Transport symbolism – what people believe their ownership or use of a mode connotes to others about their societal position – has been shown to be one such, non-trivial, hidden motivator. In the case of hybrid and electric cars (‘eco cars’), studies have demonstrated how their symbolic value varies within a society among different social groups. As yet, however, there has been scant research into comparing how the symbolism of a mode varies across national cultures, horizontally, between individuals with similar socio-demographic characteristics. Through qualitative thematic analysis, this study utilises two of Hofstede’s cross-cultural indices – power differential and individualism versus collectivism – to develop and strengthen theory on how the differing symbolism of eco cars currently varies between four cultural clusters – Anglo, Nordic, Confucian and South Asian. It also deliberates how observed symbolic qualitative differences may influence an individual or group choice to procure eco cars. Finally, it discusses how policy development, transfer and marketing, within the context of eco cars, may need to be modified by national governments, in the Confucian and South Asian cultures, so as to encourage uptake and modal shift.  相似文献   
25.
The fluid-structure interaction of oblique irregular waves with a pontoon-type very large floating structure (VLFS) edged with dual horizontal/inclined perforated plates has been investigated in the context of the direct time domain modal expansion theory. For the hydroelastic analysis, the boundary element method (BEM) based on time domain Kelvin sources is implemented to establish water wave model including the viscous effect of the perforated plates through the Darcy’s law, and the finite element method (FEM) is adopted for solving the deflections of the VLFS modeled as an equivalent Mindlin thick plate. In order to enhance the computing efficiency, the interpolation-tabulation scheme is applied to assess rapidly and accurately the free-surface Green function and its partial derivatives in finite water depth, and the boundary integral equation of a half or quarter VLFS model is further established taking advantage of symmetry of flow field and structure. Also, the numerical solutions are validated against a series of experimental tests. In the comparison, the empirical relationship between the actual porosity and porous parameter is successfully applied. Numerical solutions and model tests are executed to determine the hydroelastic response characteristics of VLFS with an attached anti-motion device. This study examines the effects of porosity, submerged depth, inclined angle and gap distance of such dual perforated anti-motion plates on the hydroelastic response to provide information regarding the optimal design. The effects of oblique wave angle on the performance of anti-motion and hydroelastic behavior of VLFS are also emphatically examined.  相似文献   
26.
姜忠涛 《船舶》2012,23(5):1-6
美国海军研究署(ONR)2006年启动可变船型气垫船(Transformable Craft,简称:T-Craft)项目,用于海上基地的高速连接舰。第一阶段研究主要开展初步方案论证及技术风险分析等;第二阶段研究自2008年初开始,包括关键技术研究、方案设计和模型试验等。文章主要介绍在合同第二阶段,Alion公司及TMLS公司对该船型的一些研究工作和关键技术解决方案。  相似文献   
27.
为合理确定盾构隧道接缝EPDM弹性密封垫橡胶材料的本构模型及其参数,采用CMT4304型微机控制电子万能试验机,进行单轴拉伸试验和单轴压缩试验,并利用ABAQUS有限元分析软件对试验数据进行分析,从模型符合性和材料稳定性2方面进行评价,得出常用硬度EPDM橡胶材料的推荐本构模型及其参数。结果表明:邵尔硬度为45 HA和60 HA的EPDM橡胶,采用Arruda-Boyce或van der Waals本构模型较合适;邵尔硬度为55 HA的EPDM橡胶,采用Arruda-Boyce或Yeoh本构模型较合适;邵尔硬度为65 HA的EPDM橡胶,采用Mooeny-Rivlin本构模型较合适。  相似文献   
28.
基于灰色残差GM(1,1)模型的道路交通量预测的研究   总被引:2,自引:0,他引:2  
道路交通体系是一个多因素、多层次、多目标的复杂系统。其中交通量信息系统具有明显的层次复杂性,结构关系的模糊性,动态变化的随机性,指标数据的不完全和不确定性。由于技术方法、人为因素、自然环境变化的影响,造成各种数据误差、短缺甚至虚假现象,系统的作用机制不明确,系统的状态、结构、边界关系难以精确描述,属于典型的灰色系统。在作量化、模型化、实体化研究时,能作为反映系统主要动态特征的数据是很少的。由于环境对系统的干扰,系统信息中原始数据序列往往呈现离乱情况,离乱数列即为灰色数列或称灰色过程,灰色理论利用那些较少的或不确切的表示系统行为特征的原始数据序列作生成变换后建立微分方程,对灰色过程建立的模型称为灰色模型(Greymodel),简称GM模型。本文从理论上介绍了GM(1,1)模型和灰色残差GM(1,1)模型建立的一般过程,然后将其应用于交通量预测的实际例子中。预测结果表明,该方法是可行的。  相似文献   
29.
岩石边坡绿化是一门新兴的边缘学科,涉及面广。喀斯特(KST)灌木护坡技术绿化法在贵州高速公路运用尚属首次。鉴于此,结合都新高速公路边坡施工的喀斯特(KST)灌木护坡技术绿化,介绍了该方法的技术方案、护坡原理、施工中的消耗量和施工工艺。  相似文献   
30.
Short-term forecasting of high-speed rail (HSR) passenger flow provides daily ridership estimates that account for day-to-day demand variations in the near future (e.g., next week, next month). It is one of the most critical tasks in high-speed passenger rail planning, operational decision-making and dynamic operation adjustment. An accurate short-term HSR demand prediction provides a basis for effective rail revenue management. In this paper, a hybrid short-term demand forecasting approach is developed by combining the ensemble empirical mode decomposition (EEMD) and grey support vector machine (GSVM) models. There are three steps in this hybrid forecasting approach: (i) decompose short-term passenger flow data with noises into a number of intrinsic mode functions (IMFs) and a trend term; (ii) predict each IMF using GSVM calibrated by the particle swarm optimization (PSO); (iii) reconstruct the refined IMF components to produce the final predicted daily HSR passenger flow, where the PSO is also applied to achieve the optimal refactoring combination. This innovative hybrid approach is demonstrated with three typical origin–destination pairs along the Wuhan-Guangzhou HSR in China. Mean absolute percentage errors of the EEMD-GSVM predictions using testing sets are 6.7%, 5.1% and 6.5%, respectively, which are much lower than those of two existing forecasting approaches (support vector machine and autoregressive integrated moving average). Application results indicate that the proposed hybrid forecasting approach performs well in terms of prediction accuracy and is especially suitable for short-term HSR passenger flow forecasting.  相似文献   
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