Application of Artificial Neural Networks for Hot Mix Asphalt Dynamic Modulus (E*) Prediction

El-Badawy, Sherif M.; El-Hakim, Ragaa T. Abd

doi:10.1007/978-3-319-61908-8_14

Advancement in the Design and Performance of Sustainable Asphalt Pavements

2017

DOI: 10.1007/978-3-319-61908-8_14

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Application of Artificial Neural Networks for Hot Mix Asphalt Dynamic Modulus (E*) Prediction

Sherif M. El-Badawy¹,

Ragaa T. Abd El-Hakim²

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Cited by 4 publications

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Modeling Hot-Mix asphalt dynamic modulus using deep residual neural Networks: Parametric and sensitivity analysis study

Moussa

Owais

2021

Construction and Building Materials

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Application of Artificial Neural Networks for Hot Mix Asphalt Dynamic Modulus (E*) Prediction

Cited by 4 publications

References 13 publications

Modeling Hot-Mix asphalt dynamic modulus using deep residual neural Networks: Parametric and sensitivity analysis study

Modeling Hot-Mix asphalt dynamic modulus using deep residual neural Networks: Parametric and sensitivity analysis study

Global sensitivity analysis for studying hot-mix asphalt dynamic modulus parameters

Predicted performance of hot mix asphalt modified with nano-montmorillonite and nano-silicon dioxide based on Egyptian conditions

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