甘泉铁路风沙缓解措施中预测风吹沙堆积的数值模拟和实地研究

Shiguang Huang, Tao Ma, Fuqiang Jiang, Fei Nie, Xuedong Wang, Tiantian Ma
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引用次数: 0

摘要

风引起的积沙对干旱和沙漠地区铁路的安全和维护构成了重大挑战。准确计算和预测风沙积聚是确保铁路持续运行的关键。本研究以甘泉铁路沿线受风沙堆积影响较大的地区为中心。研究人员对该区段附近的风速、风向和运沙能力数据进行了监测。利用收集到的风速、风向和风沙流密度数据,采用计算流体动力学(CFD)方法进行了数值模拟,以预测甘泉铁路防沙措施范围内的积沙量。监测结果表明,春夏季主导风向为正西方向,秋冬季主导风向为西南风,平均风速为 12 米/秒。风沙流密度与风速呈正相关。2 m 以上的风沙流密度几乎为零,表明风沙流结构集中在距地面 2 m 范围内,平均风沙流密度为 3.50×10-5 kg/m3。通过数值模拟,确定了计算域内的风场和积沙分布特征。得出了积沙质量和宽度随时间变化的关系式。起初,积沙宽度均匀增加,然后趋于稳定,而积沙质量则均匀上升到一个高点,然后迅速减小。根据这些研究结果,确定了防沙措施投入使用后 350 至 450 天的最佳排沙期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical simulation and field study on predicting wind-blown sand accumulation in sand mitigation measures of the Ganquan railway
The accumulation of sand induced by wind poses a significant challenge to the safety and maintenance of railways in arid and desert regions. Accurate calculation and prediction of sand accumulation are crucial for ensuring continuous railway operation. This research is centered on the region significantly impacted by sand accumulation along the Ganquan Railway. Wind speed, wind direction, and sand carrying capacity data near this section were monitored. Using the collected wind speed, wind direction, and wind-sand flow density data, numerical simulations were conducted using the Computational Fluid Dynamics (CFD) method to predict the amount of sand accumulation within the sand mitigation measures of the Ganquan Railway. Monitoring results indicate that the dominant wind direction in spring and summer is due west, while in autumn and winter it is southwest, with an average wind speed of 12 m/s. A positive correlation was observed between wind-sand flow density and wind speed. The wind-sand flow density above 2 m was nearly zero, indicating that the wind-sand flow structure is concentrated within 2 m from the ground, with an average wind-sand flow density of 3.50×10−5 kg/m3. Through numerical simulation, the characteristics of the wind field and sand accumulation distribution within the calculation domain were determined. A relationship equation between sand accumulation mass and width over time was derived. Initially, the sand accumulation width increases uniformly and then stabilizes, while the sand accumulation mass rises uniformly to a plateau before in-creasing rapidly. From these findings, the optimal period for sand removal was identified as between 350 and 450 days after the sand mitigation measures are put into operation.
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