All Outputs (2)

Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration (2022)
Journal Article
Abed, A., Thom, N., Campos-Guereta, I., & Airey, G. (2024). Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration. International Journal of Pavement Engineering, 17(3), 549-562. https://doi.org/10.1007/s42947-022-00255-x

This paper presents a new accurate method to compute the mechanical response of pavement structures using an Artificial Neural Network (ANN) model coupled with Multi-Layer Elastic Analysis (MLEA). The ANN model is used to improve the numerical integr... Read More about Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration.

Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography (2022)
Journal Article
Chen, A., Airey, G., Thom, N., & Li, Y. (2023). Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography. Road Materials and Pavement Design, 24(3), 653-671. https://doi.org/10.1080/14680629.2022.2029756

The high-resolution X-ray CT was applied to investigate the fatigue damage evolution of asphalt mixtures. The detailed Xray CT images in the centre of the samples were used to characterise the fatigue cracking and air voids increase at different vert... Read More about Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography.