全电子化计算机联锁系统RAMS设计考虑

随着计算机技术发展,计算机联锁已经成为我国铁路信号联锁系统的主要技术装备。主要对全电子化的计算机联锁系统的RAMS设计,即安全性、可靠性、可用性和可维护性设计进行分析。希望随着计算机技术和电子制造技术的发展,全电子化的计算机联锁系统会成为联锁系统的发展方向。     

隧道路面表面抗滑性能的调查与分析

采用手工铺砂法和摆式仪对贵州、云南等省的隧道路面抗滑性能进行了现场实测，调查的结果表明，隧道水泥混凝土路面的抗滑耐久性较差，使隧道交通存在着一定的安全隐患。分析了隧道内部特有环境对隧道路面抗滑性能的影响，并针对隧道路面类型的选择，提出了恢复隧道路面抗滑力的措施。     

全液压推土机关键技术参数研究

研究了全液压推土机的关键技术参数———滑转率、效率、牵引比和比功率。通过分析牵引效率在滑转曲线上的配置,给出了全液压推土机的额定滑转率为12%～15%。从理论和试验两个方面深入分析了压力和排量对泵—马达系统效率的影响,得到了典型泵—马达效率的试验数据拟合公式。在对全液压推土机驱动系统的匹配目标设计时,除了满足扭矩和功率上的匹配要求外,还应考虑整机的效率。变量泵的变化范围最好控制在βp=0.4～1,变量马达的变化范围最好控制在βm=0.3～1,才能保证整机有较好的牵引性能。通过对典型全液压推土机的统计分析,确定牵引比均值为1.48,比功率为7.2kW/t,具体取值应该稍大于或等于该均值。     

论大直径灌注桩的设计、施工

大直径灌注桩广泛用于房屋、桥梁的基础工程中,当无水、少水且持力层为岩石、卵石层等理想土层,埋置深度在20 m左右,采用大直径灌注桩为基础,能取得质量可靠、造价经济的优良桩基.介绍了有关设计、施工的基本知识,对桩基设计、施工具有一定参考价值.     

沿河公路路基冲刷深度的计算

在沿河公路路基冲刷防护中多采用挡土墙或石砌护坡。确定合理的局部冲刷深度 ,是确定挡土墙基础埋置深度的重要依据。在分析路基局部冲刷的影响因素基础上 ,结合甘肃省陇南地区沿河公路挡土墙的冲刷实测结果 ,探讨和建立新的局部冲刷计算公式 ,公式的计算结果与实测数据基本相符     

超深振捣条件下混凝土墙体模板侧压力的简化计算方法

超深振捣对混凝土成品质量有害无益,研究超深振捣引起模板侧压力增大的规律,可为规避其害提供依据。为此设计4个混凝土墙体试件,实测在浇筑过程中模板侧压力的变化情况。基于振捣液化和液体压力平衡理论,建立了超深振捣情况下混凝土模板侧压力计算模型,推导了计算公式,并与实验数据进行对比验证。研究结果表明,振捣深度是影响混凝土墙体模板侧压力的重要因素,本文提出的计算模型能很好地预测墙体结构超深振捣位置的模板侧压力。     

深度模拟器液压系统仿真研究

介绍了深度模拟器总体结构及工作原理,针对深度模拟器控制系统中PID算法及其相关参数进行了仿真研究。以深度模拟器液压系统为模型,利用AMESim仿真软件工具,对整个液压系统进行了仿真分析并对系统各元器件的参数进行了优化,为深度模拟器的进一步研究提供了理论基础。     

铁路路基动态变形模量的数值模拟分析

介绍铁路路基动态变形模量理论计算公式的推导及动态变形模量的测试原理,采用有限元软件模拟动态变形模量的测试过程,分析承载板与土体接触压力、路基动态变形模量的影响因素,并计算动态变形模量的有效测试深度.结果表明:在承载板中心一定范围内,接触压力模拟结果较理论计算值大;土体的动弹性模量对接触压力影响很小,可以忽略;路基动态变形模量测试冲击荷载作用下,土体只发生弹性变形;动态变形模量与土体动弹性模量呈线性关系,路基动态变形模量的模拟结果大于理论计算值;土体的泊松比对动态变形模量影响较小;动态变形模量有效测试深度建议取0.5~0.6 m.     

Modeling free-flow speed according to different water depths—From the viewpoint of dynamic hydraulic pressure

In this paper, we propose a method of modeling free flow speed from the viewpoint of hydroplaning. First, the lift forces for different water depths were estimated using Bernoulli’s equation. Compared with the result of the experimental test performed by the Japan Automobile Research Institute, the hydrodynamic pressure coefficient was determined to be 0.03 (tf s²/m⁴). The validation of the predicted lift force is found in another published paper. A very good match is found between the computed values by the proposed numerical model and the data in other published papers. Then, the loss of contact force is considered to evaluate the hydroplaning performance of a tire. To simulate the hydroplaning speed, a tire-sliding model was utilized to obtain the traction and friction forces between the road surface and the tire. The observation data obtained in Japan in 2009 is compared with the physically computed hydroplaning speed, yielding the conclusion that the traction force at the measured desired speed is, on average, 23.4% of the traction force at hydroplaning speed. The analytical model offers a useful tool to quantitatively show that the free flow speed changes as the water depth increase.     

Determination of limiting cavity depths for offshore spudcan foundations in a spatially varying seabed

The importance of accurate prediction of limiting cavity depths during offshore spudcan foundations installation has been variously highlighted in the literature. Nonetheless, most of the previous research is deterministic in nature and confined to homogenous soils. Since offshore clayey soils can be highly spatially variable, there is a practical need to take proper account of the spatial variability in the prediction of limiting cavity depths. In a bid to remedy this situation, large deformation finite element calculations combined with three-dimensional random fields were repeatedly conducted in this study within a Monte-Carlo framework. The continuous penetration of a spudcan initiated from surface was explicitly modeled until a full-localized flow-around mechanism was observed. Spatial variability was found to clearly affect the soil back-flow and thereby the limiting cavity depth, the latter of which takes a range of values that can be approximately modeled as a log-normal distribution. Characteristic limiting cavity depths at various probability levels were ascertained. An algebraic expression was proposed to explicitly predict the characteristic limiting cavity depths in random soils from the fractile. Particular attention was paid to the lower and upper 5% characteristic values, which are likely to be useful for reliability-based design.