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Development of Strength Prediction Model for Lightweight Soil Using Polynomial Regression Analysis
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 Title & Authors
Development of Strength Prediction Model for Lightweight Soil Using Polynomial Regression Analysis
Lim, Byung-Gwon; Kim, Yun-Tae;
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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.
Regression analysis;Lightweight soil;Unconfined compressive strength;Dredged soil;
 Cited by
산업부산물을 이용한 비소성 고화제 혼합토의 역학적 특성,윤대호;문경주;김윤태;

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