A state-of-the-art review of parameters influencing measurement and modeling of skid resistance of asphalt pavements

RB Kogbara, EA Masad, E Kassem, AT Scarpas… - … and Building Materials, 2016 - Elsevier
A state-of-the-art review of key parameters that influence measurement and modeling of skid
resistance of asphalt pavements is provided. Tire-pavement interaction/friction is discussed …

Stiffness modulus and marshall parameters of hot mix asphalts: Laboratory data modeling by artificial neural networks characterized by cross-validation

N Baldo, E Manthos, M Miani - Applied Sciences, 2019 - mdpi.com
The present paper discusses the analysis and modeling of laboratory data regarding the
mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by …

Bituminous mixtures experimental data modeling using a hyperparameters-optimized machine learning approach

M Miani, M Dunnhofer, F Rondinella, E Manthos… - Applied Sciences, 2021 - mdpi.com
This study introduces a machine learning approach based on Artificial Neural Networks
(ANNs) for the prediction of Marshall test results, stiffness modulus and air voids data of …

Analysis of the mechanical behaviour of asphalt concretes using artificial neural networks

N Baldo, E Manthos, M Pasetto - Advances in Civil Engineering, 2018 - Wiley Online Library
The current paper deals with the numerical prediction of the mechanical response of asphalt
concretes for road pavements, using artificial neural networks (ANNs). The asphalt concrete …

A micromechanical model of freeze-thaw damage in asphalt mixtures

L Lövqvist, R Balieu, N Kringos - International Journal of Pavement …, 2021 - Taylor & Francis
Freeze-thaw damage in asphalt pavements is a complex phenomenon dependent on many
parameters such as moisture infiltration, temperature and mechanical properties of the …

Dynamic behavior of asphalt pavement structure under temperature-stress coupled loading

Q Xue, L Liu, Y Zhao, YJ Chen, JS Li - Applied thermal engineering, 2013 - Elsevier
The coupled effect of temperature and stress loading is a critical factor in the evaluation of
the structural stability of asphalt pavements. Temperature gradient and external loading are …

Development of an elastoviscoplastic microstructural-based continuum model to predict permanent deformation in hot mix asphalt

E Masad, S Dessouky, D Little - International Journal of …, 2007 - ascelibrary.org
Permanent deformation in hot mix asphalt is caused by a combination of densification
(decrease in volume and hence increase in density) and shear deformation. The primary …

[HTML][HTML] A thermodynamics-based model for freeze-thaw damage in asphalt mixtures

L Lövqvist, R Balieu, N Kringos - International Journal of Solids and …, 2020 - Elsevier
Damage due to freeze-thaw cycles is a major problem for asphalt mixtures. Considering the
complexity of the damage process in asphalt mixtures, characterization of the process and …

[HTML][HTML] Thermodynamics-based finite strain viscoelastic-viscoplastic model coupled with damage for asphalt material

F Chen, R Balieu, N Kringos - International Journal of Solids and Structures, 2017 - Elsevier
A thermodynamics based thermo-viscoelastic-viscoplastic model coupled with damage
using the finite strain framework suitable for asphalt material is proposed in this paper. A …

Prediction of Marshall stability and marshall flow of asphalt pavements using supervised machine learning algorithms

MA Gul, MK Islam, HH Awan, M Sohail, AF Al Fuhaid… - Symmetry, 2022 - mdpi.com
The conventional method for determining the Marshall Stability (MS) and Marshall Flow (MF)
of asphalt pavements entails laborious, time-consuming, and expensive laboratory …