摘要
为研究含水率、干密度、细粒含量、冷端温度耦合作用下级配碎石填料冻胀特性,在封闭系统下进行单向冻结正交试验;采用多元渐进回归分析法,综合考虑单因素及交互作用影响,借助剔除?递补?回归循环机制遴选出显著影响因素,建立冻胀率回归方程,在因素水平范围内,利用所建立的回归方程确定级配碎石填料最大冻胀率相应因素组合。研究结果表明:对冻胀率的影响从大到小依次为含水率、干密度、细粒含量、冷端温度;其中,含水率、细粒含量与冻胀率呈正相关性,而干密度对冻胀率的影响取决于细粒含量和冷端温度,冷端温度影响则取决于干密度,交互作用显著;冻胀率预测值与验证试验结果吻合;控制级配碎石填料含水率<4%,可满足冻胀率<1%的冻胀防治要求。
In order to study the frost heave characteristics of well-graded gravels under the coupled effects of moisture content,dry density,fines content and cooling temperature,the orthogonal test of one-way frost heave in the closed system was performed.The regression equation of average heaving ratio was established by using the multifactor progressive regression analysis,and considering the effects of individual and interaction,and selecting significant influence terms by elimination?replacement?regression cycle mechanism.Within the range of factors,the combination of maximum average heaving ratio was calculated based on regression equation.The results indicate that moisture content exerts the greatest influence on average heaving ratio of well-graded gravels,followed by dry density,fines content,and cooling temperature.The average heaving ratio is positively correlated with moisture content and fines content,and whether the dry density is positively or negatively related to average heaving ratio depends on the levels of fines content and cooling temperature,and the correlation between cooling temperature and frost susceptibility is closely associated with dry density,and the interaction is obvious.The predicted values of frost heaving ratio are in good agreement with validation test data.By controlling the moisture content of well-graded gravels less than 4%,the prevention and control requirement of average heaving ratio less than 1%can be achieved.
作者
吴鹏
罗强
余浩
刘孟适
王腾飞
WU Peng;LUO Qiang;YU Hao;LIU Mengshi;WANG Tengfei(School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;MOE Key Laboratory of High speed Railway Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2020年第3期767-776,共10页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(51878560)。
关键词
级配碎石
冻胀特性
正交试验
多元渐进回归分析
交互作用
well-graded gravel
frost heave characteristic
orthogonal test
multifactor progressive regression analysis
interaction
作者简介
通信作者:罗强,博士,教授,从事路基与土工技术研究;E-mail:lqrock@home.swjtu.edu.cn。
