Optimized machine learning approaches for the prediction of viscoelastic behavior of modified asphalt binders
Additives are commonly used in pavement engineering to improve the original bitumen's
rheological and mechanical characteristics to meet severe loading and climatic condition …
rheological and mechanical characteristics to meet severe loading and climatic condition …
[HTML][HTML] A comprehensive study on the gelation process of silica gels from sodium silicate
The sol-gel route via sodium silicate precursor is known as a practical synthesis method to
prepare silica gels in a cost effective way. In the current research, rheological properties of …
prepare silica gels in a cost effective way. In the current research, rheological properties of …
Experimental evaluation and modeling of polymer nanocomposite modified asphalt binder using ANN and ANFIS
In this study, six different blends including a base binder, polymer modified binder [5%
acrylonitrile styrene acrylate (ASA) by the weight of binder], ASA–nano calcium, and ASA …
acrylonitrile styrene acrylate (ASA) by the weight of binder], ASA–nano calcium, and ASA …
Predicting the recovery and nonrecoverable compliance behaviour of asphalt binders using artificial neural networks
Additives are widely used to enhance the rheological and performance properties of asphalt
binder to satisfy the demands of extreme loading and climatic conditions. Meanwhile, adding …
binder to satisfy the demands of extreme loading and climatic conditions. Meanwhile, adding …
Development of analytical models to predict the dynamic shear rheometer outcome—phase angle
MA Khasawneh, DM Al-Oqaily - International Journal of Pavement …, 2023 - Springer
The Superpave asphalt binder specifications are designed to improve the asphalt pavement
performance by controlling pavement distresses under a wide range of temperatures and …
performance by controlling pavement distresses under a wide range of temperatures and …
Quantifying the differential phase angle behaviour of asphalt concrete mixtures using artificial neural networks
Phase angle is an important property of asphalt concrete (AC) mixtures that can aid in
proper material selection and thereby assist in accurate design of flexible pavements. In …
proper material selection and thereby assist in accurate design of flexible pavements. In …
Viscoelasticity of Low-Molecular-Weight Polyelectrolytes
PA Bonnaud, H Ushiyama, S Tejima… - The Journal of Physical …, 2022 - ACS Publications
Shear-thickening fluids that absorb the impact energy of high-velocity projectiles are of great
interest for aerospace and body-armor applications. In such a frame, we investigate transient …
interest for aerospace and body-armor applications. In such a frame, we investigate transient …
Evaluating the Performance of Aluminum Oxide Nanoparticle‐Modified Asphalt Binder and Modelling the Viscoelastic Properties by Using Artificial Neural Networks …
The effect of aluminum oxide nanoparticles (Al2O3) on the 60/70 penetration of asphalt
cement (AC) was investigated in terms of the physical and rheological characteristics by …
cement (AC) was investigated in terms of the physical and rheological characteristics by …
Rheological‐based digital approach for gel curve analysis of alcohol ethoxylates
T King, F Caputo, A Hughes… - Journal of Surfactants and …, 2024 - Wiley Online Library
Many surfactants, such as higher mole alcohol ethoxylates like C12‐15–7EO and C9‐11–
8EO, when diluted in water, will form a gel at specific concentrations and temperatures. Gels …
8EO, when diluted in water, will form a gel at specific concentrations and temperatures. Gels …
[PDF][PDF] Predicting the Recovery and Nonrecoverable Compliance Behaviour of Asphalt Binders Using Artificial Neural Networks. Processes 2022, 10, 2633
Additives are widely used to enhance the rheological and performance properties of asphalt
binder to satisfy the demands of extreme loading and climatic conditions. Meanwhile, adding …
binder to satisfy the demands of extreme loading and climatic conditions. Meanwhile, adding …