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- W2056783220 abstract "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." @default.
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- W2056783220 date "2012-04-30" @default.
- W2056783220 modified "2023-09-26" @default.
- W2056783220 title "Development of Strength Prediction Model for Lightweight Soil Using Polynomial Regression Analysis" @default.
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- W2056783220 doi "https://doi.org/10.5574/ksoe.2012.26.2.039" @default.
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