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考虑到多刚体系统动力学研究方法在建模及计算方面的局限性,将有限元法引入到机车车辆/轨道大系统的垂向耦合振动研究中来.为了真实模拟在轨道上不同位置的轮轨接触关系,用有限元参数二次规划法求出了轮轨等效接触刚度曲线,建立了统一的机车车辆/轨道耦合系统.通过建立系统的有限元分析模型,利用精细时程积分算法求解系统振动方程,分析研究了机车车辆在无限长轨道上运行时,在轨道不平顺激扰下,轮/轨间相互作用力、机车车辆/轨道系统中各部件的振动加速度及位移变化规律.研究结果表明,该方法不但可行,而且具有其它传统方法无可比拟的优越性. 相似文献
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An efficient optimization approach, called feasible gate (FG), is developed to enhance the computation efficiency and solution quality of the previously developed highway alignment optimization (HAO) model. This approach seeks to realistically represent various user preferences and environmentally sensitive areas and consider them along with geometric design constraints in the optimization process. This is done by avoiding the generation of infeasible solutions that violate various constraints and thus focusing the search on the feasible solutions. The proposed method is simple, but improves significantly the model's computation time and solution quality. Such improvements are demonstrated with two test examples from a real road project. 相似文献
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刚构桥中的高墩计算研究 总被引:1,自引:0,他引:1
本文提出了刚构桥中高墩不仅要对单墩进行强度、稳定分析,还要对全桥整体稳定进行分析,并对高墩设计给出了比较完整的、清晰的、方便的计算方法和步骤,供同行参考和借鉴。 相似文献
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Currently, the applicability of macroscopic Dynamic Network Loading (DNL) models for large-scale problems such as network-wide traffic management, reliability and vulnerability studies, network design, traffic flow optimization and dynamic origin–destination (OD) estimation is computationally problematic. The main reason is that these applications require a large number of DNL runs to be performed. Marginal DNL simulation, introduced in this paper, exploits the fact that the successive simulations often exhibit a large overlap. Through marginal simulation, repeated DNL simulations can be performed much faster by approximating each simulation as a variation to a base scenario. Thus, repetition of identical calculations is largely avoided. The marginal DNL algorithm that is presented, the Marginal Computation (MaC) algorithm, is based on first order kinematic wave theory. Hence, it realistically captures congestion dynamics. MaC can simulate both demand and supply variations, making it useful for a wide range of DNL applications. Case studies on different types of networks are presented to illustrate its performance. 相似文献
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