摘要
为优选路基填料,保证施工后铁路路基力学强度满足相关规范要求,通过现场地基系数K_(30)试验建立K_(30)与压实度、含水率的关系,取现场土样在相同压实度与含水率条件下成型室内试件,并通过加州承载比(California bearing ratio,CBR)试验测定相应的浸水CBR(CBR_(0))、非浸水CBR(CBR_(1)),从而建立现场地基系数K_(30)与室内CBR的经验公式,并基于规范对现场填料要求提出室内力学控制标准。结果表明:随着压实度的增加,K_(30)、CBR_(0)与CBR_(1)均线性增加;随着含水率的增加,K_(30)与CBR_(1)线性增加,而CBR_(0)呈减小趋势;CBR_(0)与K_(30)相关性较差,而CBR_(1)与K_(30)具有良好的线性关系,相关系数达90%以上。对不同铁路等级、设计速度与结构层位的路基填料,可采用CBR_(1)作为填料预选的力学控制标准。
In order to optimize the subgrade filling material and ensure that the mechanical strength of the railway subgrade after construction meets the relevant specifications,the relationship between K_(30) and the degree of compaction and moisture content is established through the field foundation coefficient K_(30) test,and take the field soil samples under the same compaction and moisture content conditions to form indoor specimens,and determine the corresponding water-immersed CBR_(0) and non-immersed CBR_(1) through the California bearing ratio(CBR)test,so as to establish the empirical formula of the field foundation coefficient K30 and the indoor CBR,and put forward the requirements for the field filler based on the specification Indoor mechanics control standard.The results show that with the increase of compaction,K_(30),CBR_(0) and CBR_(1) all linearly increase;with the increase of water content,K_(30) and CBR_(1) increase linearly,while CBR_(0) shows a decreasing trend;CBR_(0) has a poor correlation with K_(30),while CBR_(1) has a good linear relationship with K30,with a correlation coefficient of more than 90%.For subgrade fillers of different railway grades,design speeds and structural levels,indoor non-immersion CBR can be used as the mechanical control standard for filler preselection.
作者
杨迪锋
沙红卫
蒋应军
岳卫民
易勇
YANG Di-feng;SHA Hong-wei;JIANG Ying-jun;YUE Wei-min;YI Yong(Highway College, Chang'an University, Xi'an 710064, China;Shaanxi Xifa (North Line) Intercity Railway Co., Ltd., Xi’an 710000, China)
出处
《科学技术与工程》
北大核心
2021年第26期11313-11318,共6页
Science Technology and Engineering
基金
陕西省交通运输厅科技项目(18-02K)
陕西省交通运输厅科技项目(19-27K)
长安大学中央高校基金(300102218212)。
