3.9 Article

Hybridizing multivariate robust regression analyses with growth forecast in evaluation of shear strength of zeolite-alkali activated sands

出版社

SPRINGERNATURE
DOI: 10.1007/s41939-022-00120-1

关键词

Zeolite-alkali activation; Multivariate robust regression; Time series analysis; Huber outlier estimation

向作者/读者索取更多资源

This study conducted a comprehensive experimental program to investigate the relationships between B-ratio, void ratio, and principal stress difference at failure of zeolite-alkali activated sands. The proposed unified relationships presented by this research provide a solid framework for the treatment of fine sands with natural zeolite-lime blends.
A comprehensive experimental program was undertaken to investigate the relationships between B-ratio, void ratio, and principal stress difference at failure of zeolite-alkali activated sands. For this purpose, a series of unconfined compressive strength tests (UCS) was carried out on specimens under different arrangements of zeolite-lime content to fixate an optimum lime content. From interpretation of UCS test results, undrained triaxial shearing tests were performed on samples comprising optimum lime content and various zeolite percentages. With regards to the experimental evidence, a novel time dependent growth forecast was performed to extend the curing ages beyond the conditions of the experimental program. Then, a series of multivariate regression analyses including robust analysis along with error diagnoses estimations was utilized to define new relationships among influential variables. High accuracy and confidence rate of the proposed unified relationships presented by this research will provide a solid framework for the treatment of fine sands with natural zeolite-lime blends.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.9
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据