Data-driven estimation models of asphalt mixtures dynamic modulus using ANN, GP and combinatorial GMDH approaches

D Rezazadeh Eidgahee, H Jahangir, N Solatifar… - Neural Computing and …, 2022 - Springer
The objective of the present study is to develop and evaluate machine learning-based
prediction models, employing the artificial neural networks (ANNs), Genetic Programming …

Continuous health monitoring of pavement systems using smart sensing technology

AH Alavi, H Hasni, N Lajnef, K Chatti - Construction and Building Materials, 2016 - Elsevier
Recently, significant attention has been devoted to the utilization of new sensing
technologies for pavement maintenance and preservation systems. This study presents a …

Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis

J Liu, F Liu, Z Wang, EO Fanijo, L Wang - Construction and Building …, 2023 - Elsevier
Dynamic modulus (E∗) plays a dominant role in comprehensively capturing the mechanical
behavior of asphalt mixture. Many researchers tried to consider E∗ as a performance …

Pre-trained deep learning for hot-mix asphalt dynamic modulus prediction with laboratory effort reduction

GS Moussa, M Owais - Construction and Building Materials, 2020 - Elsevier
Evaluating the hot mix asphalt (HMA) expected performance is one of the significant aspects
of highways research. Dynamic modulus (E*) presents itself as a fundamental mechanistic …

Estimation of the dynamic modulus of asphalt concretes using random forests algorithm

D Daneshvar, A Behnood - International Journal of Pavement …, 2022 - Taylor & Francis
ABSTRACT Dynamic modulus (| E∗|) of asphalt can be estimated using predictive models to
avoid the time-taking and costly laboratory-based measurements. Several predictive models …

Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming

A Behnood, EM Golafshani - Construction and Building Materials, 2021 - Elsevier
The dynamic modulus E∗ of asphalt mixtures can be used to characterize the behavior of
asphalt pavements at a wide range of traffic and climate conditions. The use of E∗ predictive …

Analysing Witczak 1-37A, Witczak 1-40D and Modified Hirsch Models for asphalt dynamic modulus prediction using global sensitivity analysis

M Owais - International Journal of Pavement Engineering, 2023 - Taylor & Francis
The dynamic modulus (∣ E*∣) of hot-mix asphalt mixes is one of the most time-consuming
and labour-intensive material metrics to evaluate in the laboratory. This study introduces a …

Preprocessing and postprocessing analysis for hot-mix asphalt dynamic modulus experimental data

M Owais - Construction and Building Materials, 2024 - Elsevier
Abstract Dynamic modulus (| E*|) measurements of hot-mix asphalt (HMA) mixtures are
critical for understanding material behavior but present significant challenges due to the …

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

GS Moussa, M Owais - Construction and Building Materials, 2021 - Elsevier
The dynamic modulus (E*) of hot-mix asphalt mixtures is one of the most tedious and time-
consuming laboratory testing material properties. It requires costly, advanced equipment …

Accurately predicting dynamic modulus of asphalt mixtures in low-temperature regions using hybrid artificial intelligence model

J Huang, GS Kumar, J Ren, J Zhang, Y Sun - Construction and Building …, 2021 - Elsevier
The applicability of the widely used Witczak model was evaluated for the first time regarding
the asphalt mixtures produced in the East part of China. 16 asphalt mixtures by 2 binders …