Predicting the dynamic modulus of asphalt mixture using hybridized artificial neural network and grey wolf optimizer-Reference-Cited by-同舟云学术

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Predicting the dynamic modulus of asphalt mixture using hybridized artificial neural network and grey wolf optimizer

Published:2021-11-26 Issue: Volume: Page:1-11
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Mohammadi Golafshani Emadaldin¹^ORCID,Behnood Ali²^ORCID,Karimi Mohammad M.³

Affiliation:

1. Department of Civil Engineering, Monash University, Melbourne, Australia

2. Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA

3. Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2021.2005056

Reference58 articles.

1. Investigation of factors affecting dynamic modulus and phase angle of various asphalt concrete mixtures

2. Moisture damage evaluation in SBS and lime modified asphalt using AFM and artificial intelligence

3. Comparison of Simple Performance Test |E*| of Accelerated Loading Facility Mixtures and Prediction |E*|

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revolutionising Egyptian pavement design: a comprehensive E* database and advanced modeling approach for contextually informed performance predictions;International Journal of Pavement Engineering;2024-04-05

2. Global sensitivity analysis for studying hot-mix asphalt dynamic modulus parameters;Construction and Building Materials;2024-01

3. Analysing Witczak 1-37A, Witczak 1-40D and Modified Hirsch Models for asphalt dynamic modulus prediction using global sensitivity analysis;International Journal of Pavement Engineering;2023-10-18

4. Boosting Hot Mix Asphalt Dynamic Modulus Prediction Using Statistical and Machine Learning Regression Modeling Techniques;Sustainability;2023-10-03

5. Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity;Transportation Engineering;2023-06

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