Estimation of specific gravity with penetration and penetration index parameters by artificial neural network

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Abstract

Specific Gravity of the bitumen changes according to the ambient temperature. Different specific gravity values can be calculated at different temperature. Estimating models like Artificial Neural Network - ANN could be very useful to obtain the specific gravity value uniform. Specific gravity values obtained from Long-Term Pavement Performance - LTPP were estimated with artificial neural networks. Penetration and Penetration Index of binder were used for estimating the specific gravity of the bitumen. As a result, ANN get 84% of R2 between obtained and estimated values.

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Serin, S., Karahancer, S., Eriskin, E., Morova, N., Saltan, M., & Terzi, S. (2017). Estimation of specific gravity with penetration and penetration index parameters by artificial neural network. Periodicals of Engineering and Natural Sciences, 5(2), 161–164. https://doi.org/10.21533/pen.v5i2.106

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