Abstract:

This study aims to develop a model that can predict the value of concrete pressure and traction resistance by using artificial nerve networks (YSA) using the features of fresh concrete. Betons with different mixture rates are prepared in this range. Tests have been carried out on the prepared fresh concrete mixture, unit weight and air quantity determination. Additionally, pressure and traction resistance tests were conducted on cubic samples of 15x15x15 cm sizes taken from each mixture in the 28th day. In the created artificial nerve network, the water/cement ratio of concrete mixture, the amount of collapse, the weight of the fresh concrete unit and the amount of air input parameters, the pressure and drawing resistance values are used as the output parameters. The results were compared with the experimentally obtained data with the YSA model developed as a result and the results were found to be compatible with each other.

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