首页|弱膨胀土路基引起轨道开始变形日期的预测模型

弱膨胀土路基引起轨道开始变形日期的预测模型

Prediction Model for Onset Date of Track Dedformation Caused by Weakly Expensive Sabgrade Soil

扫码查看
高温少雨条件下弱膨胀土路基易发生收缩变形,引起轨道几何尺寸变化.本文利用铁路沿线气温、降雨量和轨检数据,分析了弱膨胀土路基段轨道变形的特征和原因,提出综合考虑气温和降雨量的累计气候效用指数来量化路基含水率的变化,建立综合效用指数与轨道开始变形日期的关系,据此构建基于累计气候效用指数的轨道开始变形日期预测模型.利用普速铁路某弱膨胀土路基段2016-2018年的数据对模型进行了验证.结果表明:除进行过路基换填的2处外,其余处所预测的轨道开始变形的日期与实际发生变形的日期一致.本文提出的累计气候效用指数可量化路基含水率的变化,构建的预测模型可为工务段掌握弱膨胀土路基段轨道变形情况提供数据支撑,以便及时安排维修作业.
In the high-temperature and low-rainfall season,weakly expansive soil in railway subgrade is prone to shrink and consequently make subgrade deformation.Such deformation results in rapid and large changes in track geometry parameters.Using temperature,rainfall and track geometry measurement data,this paper firstly analyzed track deformation characteristics.Subsequently,a cumulative climate utility index was defined and expressed as formulas to quantify moisture change in subgrade.Base on the index,a model was proposed to estimate the onset date of track deformation.Using the temperature,rainfall,and track geometry measurement data for the years of 2016-2018 over a conventional rail track section having weakly expansive soil in subgrade,the proposed model was validated.The result shows that the estimated onset dates all match with the actual dates for all milepoints except 2 locations where ballast materials have been replaced.These findings indicate that the proposed model can accurately predict when track starts to deform under the effect of subgrade shrinkage resulting from weakly expansive soil,and therefore can reliably guide just-in-time track maintenance works.

railway subgradeweakly expansive soildata modellingclimate utility indextrack deformationprediction modeltemperaturerainfall

黄奇赟、康庆涛、张晓阳、徐鹏

展开 >

中铁第四勘察设计院集团有限公司 线路站场设计院,武汉 430063

中国国家铁路集团有限公司 工电部,北京 100844

北京交通大学 交通运输学院,北京 100044

铁路路基 弱膨胀土 数据建模 气候效用指数 轨道变形 预测模型 气温 降雨量

2024

铁道建筑
中国铁道科学研究院

铁道建筑

北大核心
影响因子:0.623
ISSN:1003-1995
年,卷(期):2024.64(11)