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

作     者：Muge Elif Orakoglu Cevdet Emin Ekinci 

作者机构：Firat UniversityTechnical Education FacultyDepartment of Construction Education Beijing Jiaotong University School of Civil Engineering Firat UniversityTechnology FacultyDepartment of Civil Engineering 

出 版 物：《Research in Cold and Arid Regions》 (寒旱区科学（英文版）)

年 卷 期：2013年第5卷第5期

页      面：626-636页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081902[工学-矿物加工工程] 0819[工学-矿业工程] 08[工学] 

主　　题：foundation soil regression model k-means clustering analysis 

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 un- confined compression strengths and other parameters of the different soils.