越浪对斜坡式护岸后方危险品管廊的影响

随着极端灾害天气的增多,建港条件恶化,已建斜坡式护岸不能对后续建设的危险品管廊形成安全掩护。论证掩护危险品管廊斜坡式护岸的防潮、防浪和越浪量标准,采用规范公式计算掩护危险品管廊的斜坡式护岸堤顶高程,通过波浪断面物理模型试验研究越浪量、越浪水面线、越浪落水点位置和波浪力,分析越浪对斜坡式护岸后方危险品管廊的影响,提出堤顶高程无法满足越浪量控制标准的管廊建设方案。     

肋骨非均匀排列的圆柱壳振动特性研究

研究了肋骨非均匀排列对加肋圆柱壳振动特性的影响。首先,以安德森定域效应的原理为基础,肋骨间距为随机分布,分析了肋骨非均匀排列时圆柱壳的振动特性,然后,采用两种肋骨间距,交替排列,构造整个圆柱壳的肋骨不等间距排列形式,两种肋骨间距的确定方法是:保持两种肋骨间距的总和不变,逐步增大两者的间距差,从而增加相邻的肋骨间的两个圆环结构的固有频率差,直至固有频率差趋于不变,最终确定了两种肋骨间距。分别计算并对比分析了肋骨等间距和不等间距排列的圆柱壳的均方振速,结果表明:肋骨不等间距排列具有一定的减振效果。     

基于频域滤波的噪声识别去噪算法

在频域滤波的基础上,对图像的高频部分进行噪声识别,区分边缘与噪声,进而通过改进的空间滤波算法实施去噪,使图像边缘细节部分得到保护,再将处理后的高频图像与其对应的低频图像进行融合,以获得完整的高质量图像.实验结果表明通过新算法处理后的图像可以达到较好的降噪效果.     

斜坡堤越浪流厚度及堤后次生波的试验研究*

通过断面物理模型试验,对于斜坡堤的平均越浪量、堤上越浪流厚度以及堤后次生波的波高、周期的变化情况等进行了较系统的研究,初步建立了堤上越浪流的厚度、堤后次生波的波浪透射系数、周期变化系数与无因次平均越浪量的关系.该成果可为工程实际及斜坡堤堤项越浪情况数学模型的参数调整提供依据.     

第二积分中值定理“中间点”的渐近性再分析

对于第二积分中值定理中的“中间点”的渐进性问题,将区间的端点推广到区间中的任意点,给出并证明了更一般的结论,改进和推广了现有的相关结论.     

基于时间累计法的机车维修性预计分析

基于时间累积法,阐述机车维修性预计工作流程以及系统与LRU平均修复时间的计算方法。并以空调与通风系统为例,说明了系统及LRU平均修复时间的计算过程,并由此得出整车的平均修复时间。文章最后阐述了维修性预计对机车设计的指导作用以及使用时间累积法的局限性。     

建立整数型轨道状态最优综合维修计划模型

为实现高效的轨道不平顺养护维修,建立最优养护维修计划模型和采用大型养路机械进行作业是十分重要的。本文以养护维修时间为决策变量,以年度轨道不平顺平均值最小为目标函数,在考虑了一系列约束函数的情况下,建立了整数型轨道状态最优综合维修计划模型。该模型能有效利用现场的养护资源,从安全和舒适的角度出发来制定养护计划,该模型的建立从理论上解决了轨道不平顺状态计算机辅助决策系统的关键问题。     

柴油机电子调速器可靠性设计

文章阐述了柴油机电子调速器可靠性质量指标的重要性，提出了可靠性设计是提高电子调速器可靠性的基础，并具体地介绍了柴油机电子调速器的可靠性设计，采用裕度设计，降额设计，保护电路设计和耐振设计等技术措施，多年的实际应用证明，其可靠性是能够得到了分保证的。     

Performance estimation model of a torque converter part I: Correlation between the internal flow field and energy loss coefficient

The objective of this paper is to improve the performance estimation model of the internal flow field of a torque converter. Compared with performance experiment results, the converter based on the one-dimensional model does not satisfy the performance requirements demanded in practice. Therefore, we need to develop more predictable and reliable performance estimation models. In order to obtain shape information on three-dimensional blade geometry, a process of reverse engineering conducts a torque converter assembly, impeller, turbine and stator. In addition, a CFD simulation including mesh generation and post-processing was carried out to extract equivalent parameters from the internal flow field. The internal flow field can be explained by analyze the correlation between a performance estimation model and CFD analysis. The equivalent performance model adopts the variation of energy loss coefficients for a given operating condition according to the application of a changing energy loss coefficient by the least mean squares method. The estimated equivalent model improves the agreement in performance between experiments and the theoretical model. This model can reduce the error to within about 3 percent. Furthermore, this procedure for predicted performance achieves eminence in the estimation of the capacity factor.     

A stochastic analysis of highway capacity: Empirical evidence and implications

This paper presents a stochastic characterization of highway capacity and explores its implications on ramp metering control at the corridor level. The stochastic variation of highway capacity is captured through a Space–Time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0, 0, 2₃) × (0, 1, 0)₂, which indicates that the capacities of adjacent locations are spatially–temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this paper is to study (1) how to take advantage of the extra information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean–standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model algorithm is introduced. The numerical experiment suggests that considering capacity variation information would alleviate the spillback effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using capacity variation information, and thus enhances the necessity of implementing stochastic capacity in traffic operation.