Application of artificial neural networks for prediction of concrete properties

Application of artificial neural networks for prediction of concrete properties

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The effect of different mix ratios on the mechanical properties of concrete was taylor te400 investigated.The strength and deformation in terms of the strain of normal strength concrete were evaluated under concentric loading.The artificial neural network (ANN) technique was used for predicting the compressive stress and strain at peak stress of concrete.The input parameters for ANN architectures included water/cement ratio, aggregate/cement ratio, and slump values.An equation for predicting the strain of concrete at peak stress was proposed based on ANN output values for compressive stress and strain at peak stress.

The capability and performance of bempresas.com the proposed equation are compared with actual experimental results and predictions from existing fifty-three empirical equations, including several design codes and various strain models for normal and high strength concretes, using several statistical indexes.The results showed that ANN technique have good potential for predicting the compressive strength and strain at peak stress of concrete, yielding close predictions and good agreement with the original ones.