A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Nonlinear-Multivariate Regression Prediction of Compressive Strength of Waste Glass Concrete
In this study, a predictive model on compressive strength of waste LCD glass concrete was developed by analyzing a series of laboratory test results. The compressive strength prediction model with parameters of the water-binder ratio w/b, curing age t, and waste glass content G was progressed by nonlinear-multivariate regression analysis. The calculated results are appropriate with the laboratory measured data. In addition, the coefficient of determination R2 value is 0.93-0.96, were obtained by regression analysis using the model predicted compressive analysis value and test result are also excellent.
A Nonlinear-Multivariate Regression Prediction of Compressive Strength of Waste Glass Concrete
In this study, a predictive model on compressive strength of waste LCD glass concrete was developed by analyzing a series of laboratory test results. The compressive strength prediction model with parameters of the water-binder ratio w/b, curing age t, and waste glass content G was progressed by nonlinear-multivariate regression analysis. The calculated results are appropriate with the laboratory measured data. In addition, the coefficient of determination R2 value is 0.93-0.96, were obtained by regression analysis using the model predicted compressive analysis value and test result are also excellent.
A Nonlinear-Multivariate Regression Prediction of Compressive Strength of Waste Glass Concrete
Wang, Chien-Chih (author) / Wang, Her-Yung (author) / Tang, Chao-Wei (author) / Huang, Jyun-Jie (author)
2014
7 Seiten
Conference paper
English
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