Empirical approach for strength prediction of geopolymer stabilized clayey soil using support vector machines

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• 作者：Ruhul Amin Mozumder ; Aminul Islam Laskar ; ^{aminul.nits@gmail.com} ; Monowar Hussain
• 关键词：Geopolymer ; Ground-granulated blast furnace slag ; Soil stabilization ; Support vector regression
• 刊名：Construction and Building Materials
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：132
• 期：Complete
• 页码：412-424
• 全文大小：2222 K
• 卷排序：132

文摘

SVR technique for strength estimation of geopolymer stabilized clayey soil is presented. Experimental database of 213 soil samples stabilized with slag based geopolymer binder is used. A comparative study of different kernel function on SVR model performance is discussed. A parametric study with SVR model is conducted to evaluate the effect of input parameters on UCS. An empirical approach for strength prediction of slag based geopolymer stabilized clayey soil is proposed.