基于多元分析的花岗岩残积土物理力学性质概率分布模型  

Probabilistic model for mechanical properties of completely decomposed granite based on multivariate analysis

作　　者：张洁[1] 胡金政 马建增[1] 王贺[1] 丁金伟[2] 

机构地区：[1]同济大学地下建筑与工程系,上海200092 [2]中国能源建设集团广东省电力设计研究院,广东广州510663

出　　处：《武汉大学学报（工学版）》2016年第5期648-653,660,共7页Engineering Journal of Wuhan University

基　　金：国家自然科学基金(编号:41372275)

摘　　要：基于533组花岗岩残积土土样的土工试验数据,研究了花岗岩残积土黏聚力、内摩擦角、压缩系数与常见物理指标之间的相关关系,分别采用经验方法和主成分分析方法建立了花岗岩残积土力学性质的联合概率密度函数.研究表明,花岗岩残积土黏聚力的离散性很大,难以准确预测.和黏聚力相比,内摩擦角和压缩系数的可预测性更强,内摩擦角和压缩系数之间存在一定的负相关性,黏聚力和内摩擦角、压缩系数的相关性较弱.采用经验法和主成分分析法建立的联合概率密度函数类似,验证了所提出的概率模型的可靠性.Based on 533 sets of laboratory test data, this paper studies the relationship between the total cohesion, friction angle, and the coefficient of compressibility and physical parameters of the completely de composed granite. Prohabilistic models are then constructed based on an empirical method and the principal component analysis method. It is found that the apparent cohesion is very difficult to predict. Compared with the total cohesion, the friction angle and the coefficient of compressibility is easier to predict. The friction angle is negatively correlated with the coefficient of compressibility. The correlation between the total cohesion and the friction angle as well as the correlation between the total cohesion and the coefficient of compressibility are quite weak. The prohabilistic models constructed based on the empirical method and the principle component analysis method are quite similar, so as to verify the reliability of the constructed models.

关 键 词：花岗岩残积土 土体参数 多元分析 概率统计分析 

分 类 号：TU411[建筑科学—岩土工程]