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Computers and Concrete
  Volume 13, Number 4, April 2014 , pages 531-545

A predictive model for compressive strength of waste LCD glass concrete by nonlinear-multivariate regression
C.C. Wang, T.T Chen, H.Y. Wang and Chi Huang

    The purpose of this paper is to develop a prediction model for the compressive strength of waste LCD glass applied in concrete by analyzing a series of laboratory test results, which were obtained in our previous study. The hyperbolic function was used to perform the nonlinear-multivariate regression analysis of the compressive strength prediction model with the following parameters: water-binder ratio w/b, curing age t, and waste glass content G. According to the relative regression analysis, the compressive strength prediction model is developed. The calculated results are in accord with the laboratory measured data, which are the concrete compressive strengths of different mix proportions. In addition, a coefficient of determination R2 value between 0.93 and 0.96 and a mean absolute percentage error MAPE between 5.4% and 8.4% were obtained by regression analysis using the predicted compressive analysis value, and the test results are also excellent. Therefore, the predicted results for compressive strength are highly accurate for waste LCD glass applied in concrete. Additionally, this predicted model exhibits a good predictive capacity when employed to calculate the compressive strength of washed glass sand concrete.
Key Words
    compressive strength; concrete; prediction model; waste glass; regression
C.C. Wang: Department of Civil Engineering and Geomatics, Cheng Shiu University, Kaohsiung, 833, Taiwan

T.T Chen: Departments of Civil Engineering and Engineering Management, National Quemoy University, 892, Taiwan

H.Y. Wang and Chi Huang: Department of Civil Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, 807, Taiwan, R.O.C


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