Author/Authors :
şimşek, barış çankırı karatekin üniversitesi - mühendislik fakültesi - kimya mühendisliği bölümü, Çankırı, Turkey , uygunoğlu, tayfun afyon kocatepe üniversitesi - mühendislik fakültesi - inşaat mühendisliği bölümü, Afyonkarahisar, Turkey
Abstract :
In this study, the effect of the factors on ultrasonic velocity and elasticity modulus properties of concrete containing polymeric wastes was solved by multivariable regression analysis. Seven polymers, namely, low density polyethylene, high density polyethylene, polypropylene, thermoplastic elastomer, dimethyl terephthalate, polyethylene terephthalate, polyethylene naphthalate, each at three levels were selected, and an orthogonal array (L27) was used to carry out the experimental runs. Polymers with reducing effect on ultrasound pulse velocity were identified as high density polyethylene, low density polyethylene, thermoplastic elastomer, and polyethylene terephthalate and polyethylene naphthalate with p-values of 0.000, 0.009, 0.007, 0.008 and 0.001, respectively. Polymers having a reducing effect on the dynamic elasticity modulus were identified as high density polyethylene, polypropylene and polyethylene naphthalate with p-values of 0.001, 0.002 and 0.001, respectively. Optimal mixing ratios of concrete containing polymeric waste were determined by multi-response linear programming method based on linear regression models. Verification experiment with optimum mixture ratios shows that the multi-response linear programming method can be used effectively in solving the concrete compound optimization problems.
NaturalLanguageKeyword :
Concrete , regression analysis , multi , response linear programming , taguchi design , polymeric wastes
