Optimization of constitutive parameters of foundation soils k-means clustering analysis

被引：6

作者：

Muge Elif Orakoglu ^{[1
,2
]}

Cevdet Emin Ekinci ^{[3
]}

机构：

[1] Firat University,Technical Education Faculty,Department of Construction Education

[2] Beijing Jiaotong University School of Civil Engineering

[3] Firat University,Technology Faculty,Department of Civil Engineering

来源：

Sciences in Cold and Arid Regions | 2013年 / 5卷 / 05期

关键词：

foundation soil; regression model; k-means clustering analysis;

D O I：

暂无

中图分类号：

TP311.13 []; TU411 [实验室试验（室内土工试验）];

学科分类号：

1201 ; 081401 ;

摘要：

The goal of this study was to optimize the constitutive parameters of foundation soils using a k-means algorithm with clustering analysis. A database was collected from unconfined compression tests, Proctor tests and grain distribution tests of soils taken from three different types of foundation pits: raft foundations, partial raft foundations and strip foundations.k-means algorithm with clustering analysis was applied to determine the most appropriate foundation type given the unconfined compression strengths and other parameters of the different soils.

引用

页码：626 / 636

页数：11

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