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PREDICTING THE DYNAMIC MODULUS OF HOT MIX ASPHALT USING ADVANCED APPROACHES

Field of Science:Civil and Structural Engineering
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International journal of road and urban infrastructure engineering

International journal of road and urban infrastructure engineering

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ARTICLE ANNOTATION

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Dynamic modulus (|E*|) is considered one of the main properties of hot asphalt concrete mixture (HMA). The new Mechanistic-Empirical Pavement Design Guide (MEPDG) incorporates properties at all three hierarchical levels. Existing |E*| prediction models are primarily developed based on regression analysis of the |E*| database obtained from laboratory tests conducted over many years, and generally lack the accuracy necessary for implementing reliable predictions. This article focuses on developing a simplified HMA |E*| prediction model using the methodology of Artificial Neural Networks (ANN).

AUTHORS

I.Sodikov

"TOSHKENT DAVLAT TRANSPORT UNIVERSITETI" DAVLAT MUASSASASI

Tags

# Artificial neural networks# hot mix asphalt# dynamic modulus# Hirsch model# Witczak model

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Article Identifiers

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https://eroi.uz/11.4/A026-016110

DOI:

Not Available

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