Prediction of Modulus of Rupture from 7 Days Compressive Strength for Pavement Concrete Using A Fuzzy Logic Algorithm

Abstract

Concrete pavements (CP) have been widely used in many countries in the world as an alternative to other
pavement techniques. Modulus of rupture is the most important parameter for CP design. However, compressive strength
is widely used because it is easer to perform this test than the test for the modulus of rupture. In recent years, fuzzy logic
approaches have been successfully used to solve some of the engineering problems. The main advantage of fuzzy models
is their ability to describe knowledge in a descriptive human-like manner in the form of simple rules using linguistic
variables only. A concrete pavement design requires 28 days modulus of rupture value. As known, modulus of rupture is
proportional with compressive strength. The aim of the present work is to predict 28 days modulus of rupture of
pavement concrete from the 7 days compressive strength using a fuzzy logic algorithm. The results show that the fuzzy
logic algorithm used in this study can be used to predict 28 days modulus of rupture of pavement concrete for use in
concrete pavement design.