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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 …
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 …
Continuous health monitoring of pavement systems using smart sensing technology
Recently, significant attention has been devoted to the utilization of new sensing
technologies for pavement maintenance and preservation systems. This study presents a …
technologies for pavement maintenance and preservation systems. This study presents a …
Estimation of the dynamic modulus of asphalt concretes using random forests algorithm
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 …
avoid the time-taking and costly laboratory-based measurements. Several predictive models …
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 …
Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis
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 …
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
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 …
Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming
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 …
asphalt pavements at a wide range of traffic and climate conditions. The use of E∗ predictive …
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 …