Estimation of specific gravity with penetration and penetration index parameters by artificial neural network
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Dosyalar
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International University of Sarajevo
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Artifical neural network; Penetration; Penetration index; Specific gravity
Kaynak
Periodicals of Engineering and Natural Sciences
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
5
Sayı
2
