摘要
针对PFC数值模拟结果与室内试验结果相互耦合过程中微观参数选取的盲目性问题,提出一种基于正交设计和灰关联分析的方法,选取PFC微观参数为自变量,弹性模量、泊松比、单轴抗压强度为因变量,进行单轴压缩试验,通过宏细观参数之间的关联序,得出模拟试样宏观物理量的控制性影响因素。再对控制性因素进行单因素分析和拟合,获取明确的函数关系,以此指导PFC数值试验中的参数选取,达到减少“试错”工作量的目的。
Due to the blindness of choosing micro-parameters in coupling between results from numerical simulation with PFC and from laboratory test,a method based on orthogonal design and grey relational analysis is proposed.Uniaxial compression test is carried out in PFC with micro-parameters as the independent variables and elastic modulus,Poisson s ratio and uniaxial compressive strength as the dependent variables.Controlling factors of macro physical quantity are obtained by the relationship between micro-parameters and macro-parameters.Specific functional relations are obtained by single factor analysis and data fitting of the controlling factors,which can help to adjust the parameters in PFC numerical experimentations in an easier way.
作者
张楚楚
顾圣东
王小龙
ZHANG Chuchu;GU Shengdong;WANG Xiaolong(China Energy Engineering Group Jiangsu Power Design Institute,Nanjing 211000,China;Chinese People s Liberation Army 92301 Force,Beijing 100841,China)
出处
《路基工程》
2020年第6期47-53,共7页
Subgrade Engineering
关键词
颗粒流
单轴压缩试验
正交设计
宏细观参数
灰关联分析
particle flow
uniaxial compression test
orthogonal design
macro-and-micro parameters
grey relational analysis
