Estimation of Specific Gravity with Penetration and Penetration Index Parameters by Artificial Neural Network
DOI:
https://doi.org/10.21533/pen.v5.i2.1985Abstract
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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