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The determination of Elastic Modulus (E) of normal strength
concrete is an important task in civil engineering for
infrastructure development. Experimental methods for determination
of E value of normal strength concrete are complicated and time
consuming. This article employs an Artificial Intelligence (AI)
technique for prediction of E value of normal strength concrete.
The results are compared with a widely used Artificial Neural
Network (ANN), Support Vector Machine (SVM) model and empirical
equation from the different buildings codes. Equations have been
also developed for determination of E value of normal strength
concrete based on the AI. The developed AI model also gives error
bar of predicted E value. The predicted error bar can be used to
determine model uncertainty. This study shows that the developed AI
is a robust model for prediction of E value of normal strength
concrete.
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