Data-driven estimation models of asphalt mixtures dynamic modulus using ANN, GP and combinatorial GMDH approaches
The objective of the present study is to develop and evaluate machine learning-based
prediction models, employing the artificial neural networks (ANNs), Genetic Programming …
prediction models, employing the artificial neural networks (ANNs), Genetic Programming …
Pre-trained deep learning for hot-mix asphalt dynamic modulus prediction with laboratory effort reduction
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 …
of highways research. Dynamic modulus (E*) presents itself as a fundamental mechanistic …
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 …
and labour-intensive material metrics to evaluate in the laboratory. This study introduces a …
Accuracy of predictive models for dynamic modulus of hot-mix asphalt
Various models have been developed over the past several decades to predict the dynamic
modulus∣ E*∣ of hot-mix asphalt (HMA) based on regression analysis of laboratory …
modulus∣ E*∣ of hot-mix asphalt (HMA) based on regression analysis of laboratory …
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 …
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
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 …
consuming laboratory testing material properties. It requires costly, advanced equipment …
Developing hybrid machine learning models to determine the dynamic modulus (e*) of asphalt mixtures using parameters in witczak 1-40d model: A comparative …
W Xu, X Huang, Z Yang, M Zhou, J Huang - Materials, 2022 - mdpi.com
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 …
comparative study was shown in this paper, combining six ML models (BP, SVM, DT, RF …
Improved estimation of dynamic modulus for hot mix asphalt using deep learning
This study developed neural network models for the estimation of dynamic modulus (| E∗|)
for hot mix asphalt (HMA) mixtures from binder properties, mixture volumetrics and …
for hot mix asphalt (HMA) mixtures from binder properties, mixture volumetrics and …
Global sensitivity analysis for studying hot-mix asphalt dynamic modulus parameters
The dynamic modulus (E*) of hot-mix asphalt mixtures is one of the most laborious and time-
consuming material parameters to measure in the laboratory. It involves expensive …
consuming material parameters to measure in the laboratory. It involves expensive …
Engineering characteristics of nanosilica/polymer-modified bitumen and predicting their rheological properties using multilayer perceptron neural network model
This study examines the effect of mixing varying percentages of nano-silica (NS), ie 2, 4 and
6%(by weight of polymer-modified bitumen, PMB) with PMB, in unaged and aged conditions …
6%(by weight of polymer-modified bitumen, PMB) with PMB, in unaged and aged conditions …