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Computers and Concrete
  Volume 14, Number 5, November 2014 , pages 563-575

Prediction of acceleration and impact force values of a reinforced concrete slab
R. Tuğrul Erdem

    concrete which is a composite material is frequently used in construction works. Properties and behavior of concrete are significant under the effect of different loading cases. Impact loading which is a sudden dynamic one may have destructive effects on structures. Testing apparatuses are designed to investigate the impact effect on test members. Artificial Neural Network (ANN) is a computational model that is inspired by the structure or functional aspects of biological neural networks. It can be defined as an emulation of biological neural system. In this study, impact parameters as acceleration and impact force values of a reinforced concrete slab are obtained by using a testing apparatus and essential test devices. Afterwards, ANN analysis which is used to model different physical dynamic processes depending on several variables is performed in the numerical part of the study. Finally, test and predicted results are compared and its seen that ANN analysis is an alternative way to predict the results successfully.
Key Words
    artificial neural network; concrete; impact effect; testing apparatus
R. Tuğrul Erdem: Department of Civil Engineering, Celal Bayar University, Manisa, Turkey

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