摘要
敏感性分析是土体冻胀率研究的一个重要方面。本文基于灰色关联分析理论,以青藏高原地区的黏性土为实例,采用灰色关联度分析土粒比表面积、含水量、密度、温度、含盐量、荷载6个不相关因素对黏性土冻胀率的敏感性。研究结果表明:对青藏高原地区黏性土冻胀率敏感性影响大小的因子依次为含水量、土粒比表面积、温度、荷载、密度和含盐量,即土体冻胀率受土体自身特性的影响最大,为工程建设的防冻胀和冻胀病害治理提供了重要参考;灰色关联度法可较准确直观地表示各因素影响土体冻胀率的敏感程度,能够把分析结果定量化,是一种既简单又实用的分析方法。
Sensitivity analysis is one of the important aspects in the research of frost heaving ratio. Based on the theory of G rey correlation analysis,and as a case study of the clay soils in Qinghai- Tibet Plateau,six factors,including specific surface area of soil grain,water content,density,temperature,salt content and load,were considered in studying the sensitivity to frost heaving ratio. The results showthat: the factors influencing the frost heaving ratio in turn are water content,specific surface area of soil grain,temperature,load,density and salt content,namely the most important influence of frost heaving ratio is soils characteristics. This conclusion provides an important reference to frost heaving resistance and disease control during construction. G rey correlation degree method can accurately showthat the parameters influence the degree of frost heaving ratio. In addition,it can quantify the analysis results.Thus,this method is a convenient and practical way for the frost heaving sensitivity analysis.
出处
《铁道建筑》
北大核心
2016年第3期100-103,共4页
Railway Engineering
基金
中国中铁股份有限公司计划项目(2013-重点-45)
关键词
冻胀率
灰色关联分析
关联度
敏感性分析
青藏高原黏性土
Frost heaving ratio
Grey correlation analysis
Correlative degrees
Sensitivity analysis
Qinghai Tibet Plateau