Estimation of Specific Gravity with Penetration and Penetration Index Parameters by Artificial Neural Network

Sercan Serin, Şebnem Karahançer, Ekinhan Erişkin, Nihat Morova, Mehmet Saltan, Serdal Terzi

2017

Full text Open access: Gold Metadata (CSL-JSON)

DOI 10.21533/pen.v5.i2.1985

Data confidence 70 medium

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Abstract

Specific Gravity of the bitumen changes according to the ambienttemperature. Different specific gravity values can be calculated at differenttemperature. Estimating models like Artificial Neural Network – ANN couldbe very useful to obtain the specific gravity value uniform. Specific gravityvalues obtained from Long-Term Pavement Performance – LTPP wereestimated with artificial neural networks. Penetration and Penetration Index ofbinder were used for estimating the specific gravity of the bitumen. As aresult, ANN get 84% of R2 between obtained and estimated values.