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J. Ocean Eng. Technol. > Volume 26(2); 2012 > Article
J. Ocean Eng. Technol. 2012;26(2):39-47.    
DOI: https://doi.org/10.5574/KSOE.2012.26.2.039   

Development of Strength Prediction Model for Lightweight Soil Using Polynomial Regression Analysis
Lim Byung-Gwon,Kim Yun-Tae
Department of Ocean Engineering Pukyung University,Department of Ocean Engineering Pukyung University
다항회귀분석을 활용한 혼합경량토의 강도산정 모델 개발
부경대학교 해양공학과,부경대학교 해양공학과
Copyright © 2012 The Korean Society of Ocean Engineers     Open access / Under a Creative Commons License
Key Words: Regression analysis, Lightweight soil, Unconfined compressive strength, Dredged soil
핵심용어: 회귀분석, 경량토, 일축압축강도, 준설토
The objective of this study was to develop a strength prediction model using a polynomial regression analysis based on the experimental results obtained from ninety samples. As the results of a correlation analysis between various mixing factors and unconfined compressive strength using SPSS (statistical package for the social sciences), the governing factors in the strength of lightweight soil were found to be the crumb rubber content, bottom ash content,and water-cement ratio. After selecting the governing factors affecting the strength through the correlation analysis, a strength prediction model, which consisted of the selected governing factors, was developed using the polynomial regression analysis. The strengths calculated from the proposed model were similar to those resulting from laboratory tests (R2=87.5%). Therefore, the proposed model can be used to predict the strength of lightweight mixtures with various mixing ratios without time-consuming experimental tests.


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