Prediction of Compressive Strength of Fiber Reinforced Concrete Containing Silica Fume Using MLR Model

Authors

  • G. Murali
  • S.K. Christy Evangelin
  • B. Akshaya
  • J. Josephine Esaa Thenmozhi

Keywords:

Fiber, Compressive strength, silica fume, regression analysis

Abstract

In this paper an attempt has been made to evaluate the compressive strength of fiber reinforced concrete (FRC) from the multiple linear regression (MLR) model. For this, the experimental results of earlier researchers were analysed using SPSS software package and the MLR model was developed. Further the developed MLR model was validated with the experimental results of another researcher’s data. The results shows that the proposed model was in good agreement with the experimental results and the maximum difference of 15% were observed between the actual and the predicted value.

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Published

01-01-2014

How to Cite

Murali, G., Evangelin, S. C., Akshaya, B., & Thenmozhi, J. J. E. (2014). Prediction of Compressive Strength of Fiber Reinforced Concrete Containing Silica Fume Using MLR Model. Caribbean Journal of Sciences and Technology, 2(01), 257–262. Retrieved from https://caribjscitech.com/index.php/cjst/article/view/147

Issue

Section

Research Article