Global sensitivity analysis for studying hot-mix asphalt dynamic modulus parameters-Reference-Cited by-同舟云学术

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

Published:2024-01 Issue: Volume:413 Page:134775
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Owais Mahmoud,Moussa Ghada S.

Publisher

Elsevier BV

Reference128 articles.

1. Static and dynamic mechanical properties of cement-asphalt composites;Yongliang;J. Mater. Civ. Eng.,2013

2. Predicting the dynamic modulus of asphalt mixture using hybridized artificial neural network and grey wolf optimizer;Mohammadi Golafshani;Int. J. Pavement Eng.,2021

3. Modeling Hot-Mix asphalt dynamic modulus using deep residual neural networks: parametric and sensitivity analysis study;Moussa;Constr. Build. Mater.,2021

4. Pre-trained deep learning for hot-mix asphalt dynamic modulus prediction with laboratory effort reduction;Moussa;Constr. Build. Mater.,2020

5. Practical procedure for developing dynamic modulus master curves for pavement structural design;Bonaquist;Transp. Res. Rec.,2005

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