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Dergiler / Teknik Dergi / 2019 / Cilt: 30 - Sayı: 6

Modelling the Effects of Hydrated Lime Additives on Asphalt Mixtures by Fuzzy Logic and ANN

Mustafa Sinan YARDIM
Betül DEĞER ŞİTİLBAY
Selim DÜNDAR
Sayfa
9533–9559
Yayın Tarihi
2019-11-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The models developed produced acceptable estimations of the mixture parameters.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this study, Marshall test results of hot mix asphalt samples having various Hydrated Lime (HL) content rates were modelled using Fuzzy Logic (FL) and Artificial Neural Networks (ANN).
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Temel Bulgular & Veri:Test sets having various HL content were prepared in order to investigate the effect of HL.
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Sonuç & Katkı:The models developed produced acceptable estimations of the mixture parameters.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Hot mix asphalt · hydrated lime · marshall mix design

Özet

In this study, Marshall test results of hot mix asphalt samples having various Hydrated Lime (HL) content rates were modelled using Fuzzy Logic (FL) and Artificial Neural Networks (ANN). Test sets having various HL content were prepared in order to investigate the effect of HL. Marshall Stability test was performed on the samples to obtain the optimal Asphalt Content (AC) ratio. The results were evaluated in order to determine HL additives’ sensitivity on the mixture parameters. The Marshall Test results were used to develop the FL and ANN models. The models developed produced acceptable estimations of the mixture parameters.

Abstract

In this study, Marshall test results of hot mix asphalt samples having various Hydrated Lime (HL) content rates were modelled using Fuzzy Logic (FL) and Artificial Neural Networks (ANN). Test sets having various HL content were prepared in order to investigate the effect of HL. Marshall Stability test was performed on the samples to obtain the optimal Asphalt Content (AC) ratio. The results were evaluated in order to determine HL additives’ sensitivity on the mixture parameters. The Marshall Test results were used to develop the FL and ANN models. The models developed produced acceptable estimations of the mixture parameters.

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Bu Makaleye Atıf Yap

YARDIM, M. S., ŞİTİLBAY, B. D., DÜNDAR, S. (2019). Modelling the Effects of Hydrated Lime Additives on Asphalt Mixtures by Fuzzy Logic and ANN. Teknik Dergi, Cilt: 30 - Sayı: 6, 9533–9559. https://ajindex.com/articles/51222

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Kaynakça (16)

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