Developing Hybrid Machine Learning Models to Determine the Dynamic Modulus (E*) of Asphalt Mixtures Using Parameters in Witczak 1-40D Model: A Comparative Study

Developing Hybrid Machine Learning Models to Determine the Dynamic Modulus (E*) of Asphalt Mixtures Using Parameters in Witczak 1-40D Model: A Comparative Study

To characterize the dynamic modulus (E*) of the asphalt mixtures more accurately, a comparative study was shown in this paper, combining six ML models (BP, SVM, DT, RF, KNN, and LR) with the novelly developed MBAS (modified BAS, beetle antennae search) algorithm to check the potential to replace the...

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Bibliographic Details
Main Authors: Wenjuan Xu, Xin Huang, Zhengjun Yang, Mengmeng Zhou, Jiandong Huang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Materials
Subjects:
machine learning
dynamic modulus
asphalt mixtures
BAS
hyperparameters
Online Access:https://www.mdpi.com/1996-1944/15/5/1791

Internet

https://www.mdpi.com/1996-1944/15/5/1791

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