输油管弯头腐蚀缺陷应力分析

针对输油管弯头以及管壁上的缺陷,用有限元法对其进行了分析计算,找出了输油管弯头的危险部位,给出了管壁危险部位腐蚀缺陷处的应力分布规律以及危险点,并研究了缺陷的长度、宽度和剩余壁厚对应力的影响;同时拟合了缺陷处应力的计算公式,为工程技术人员的设计计算和现场管道安全运营动态管理提供了依据.     

石化装置腐蚀环境中有机非金属管材的应用

针对石化装置普遍应用的几种有机非金属管材,通过对其物理机械性能、耐腐蚀性能的对比,并结合兰州石化公司有机非金属管材应用实际情况,对有机非金属管材的使用范围及其局限性进行综合分析,最后重点讨论氯化聚氯乙烯非金属管道的性能特征,为石化生产装置合理选择非金属管道材料提供一定的参考.     

松花江大桥异形双壁钢围堰的构造与分析

介绍了松花江大桥35#墩异形双壁钢围堰的构造,并用ANSYS对其结构进行了分析,得出了该结构的应力和位移分布,依据分析结果,优化了原设计尺寸,对提高产品的强度、刚度及安全性能具有一定的指导意义。     

高速动车组齿轮箱模态分析及优化设计

本文通过对国内典型高速动车组齿轮箱进行有限元仿真和试验测试,对比两种不同结构型式齿轮箱箱体的模态特征,研究分析了整体箱和分体箱对振型模态的影响,针对局部薄弱区域提出优化设计建议并进行验证.     

集装箱码头布局方案综合评价指标体系及指标权值确定方法研究

介绍了集装箱码头布局方案综合评价指标体系的建立方法,并提出了一种专家咨询法和模糊层次分析法相结合的评价指标权值确定方法,应用该方法评价集装箱码头布局方案,其结果更趋合理.     

竖向动荷载下桩尖附近应力场研究

在合理假设桩侧摩阻力在桩尖平面应力分布的基础上,推导了桩尖附近应力场公式,得出了在桩长、桩径、桩周土内摩擦角一定的情况下,桩尖地基应力与桩顶竖向动荷载的时程反应规律。并对影响桩尖地基应力的各因素进行了敏感分析,为桩尖附近其他地下结构的验算提供依据。     

模糊分析法在公路边坡稳定性评价中的应用

山区某高等级公路沿线存在大量挖方路堑高边坡,边些边坡的失稳问题已严重影响公路施工和后期的运营。运用模糊(fuzzy)分析理论对典型挖方边坡的稳定性进行了分析,得出的结论与现场观察的边坡变形破坏迹象相吻合。     

新疆兵团道路运输业发展趋势分析

在对新疆生产建设兵团道路运输业现状分析的基础上,通过利用一元线性回归模型、平均增长率法以及灰色预测法三种方法分别对兵团2011～2015年的道路旅客运输量、道路货物运输量、道路旅客运输周转量、道路货物运输周转量等进行预测。结果显示,在未来5年当中道路旅客运输以年均7.7%增长,道路货物运输以年均9.2%增长,道路旅客周转量以年均10.6%增长,道路运输货物周转量以年均12.6%增长。     

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

The missing data problem remains as a difficulty in a diverse variety of transportation applications, e.g. traffic flow prediction and traffic pattern recognition. To solve this problem, numerous algorithms had been proposed in the last decade to impute the missed data. However, few existing studies had fully used the traffic flow information of neighboring detecting points to improve imputing performance. In this paper, probabilistic principle component analysis (PPCA) based imputing method, which had been proven to be one of the most effective imputing methods without using temporal or spatial dependence, is extended to utilize the information of multiple points. We systematically examine the potential benefits of multi-point data fusion and study the possible influence of measurement time lags. Tests indicate that the hidden temporal–spatial dependence is nonlinear and could be better retrieved by kernel probabilistic principle component analysis (KPPCA) based method rather than PPCA method. Comparison proves that imputing errors can be notably reduced, if temporal–spatial dependence has been appropriately considered.     

Sensitivity-based uncertainty analysis of a combined travel demand model

Travel demand forecasting is subject to great uncertainties. A systematic uncertainty analysis can provide insights into the level of confidence on the model outputs, and also identify critical sources of uncertainty for enhancing the robustness of the travel demand model. In this paper, we develop a systematic framework for quantitative uncertainty analysis of a combined travel demand model (CTDM) using the analytical sensitivity-based method. The CTDM overcomes limitations of the sequential four-step procedure since it is based on a single unifying rationale. The analytical sensitivity-based method requires less computational effort than the sampling-based method. Meanwhile, the uncertainties stemming from inputs and parameters can be treated separately so that the individual and collective effects of uncertainty on the outputs can be clearly assessed and quantified. Numerical examples are finally used to demonstrate the proposed sensitivity-based uncertainty analysis method for the CTDM.