Outputs (17)

Particle loss mitigation in asphalt by the addition of polyethylene foam (2024)
Journal Article
Abedraba-Abdalla, M., Thom, N., Garcia-Hernández, A., & Li, L. (2024). Particle loss mitigation in asphalt by the addition of polyethylene foam. Construction and Building Materials, 438, 137208. https://doi.org/10.1016/j.conbuildmat.2024.137208

This paper evaluates the feasibility of using a cellular foam as a substitute for capsules containing rejuvenators to mitigate the ravelling of Stone Mastic Asphalt and enhance its durability. While encapsulated rejuvenators have been shown to effect... Read More about Particle loss mitigation in asphalt by the addition of polyethylene foam.

Roughness Prediction of Jointed Plain Concrete Pavement Using Physics Informed Neural Networks (2024)
Journal Article
Pasupunuri, S. K., Thom, N., & Li, L. (in press). Roughness Prediction of Jointed Plain Concrete Pavement Using Physics Informed Neural Networks. Transportation Research Record, https://doi.org/10.1177/03611981241245991

The International Roughness Index is used to measure the road roughness in pavements, as pavement roughness deteriorates over time. Despite many attempts by researchers to predict roughness in concrete pavements, there are limitations, such as small... Read More about Roughness Prediction of Jointed Plain Concrete Pavement Using Physics Informed Neural Networks.

A Machine Learning based approach to predict road rutting considering uncertainty (2024)
Journal Article
Chen, K., Torbaghan, M. E., Thom, N., Garcia-Hernández, A., Faramarzi, A., & Chapman, D. (2024). A Machine Learning based approach to predict road rutting considering uncertainty. Case Studies in Construction Materials, 20, Article e03186. https://doi.org/10.1016/j.cscm.2024.e03186

Roads as vital public assets are the backbone for transportation systems and support constant societal development. Recently, data-driven technologies such as digital twins and especially machine learning have shown great potential to maintain the se... Read More about A Machine Learning based approach to predict road rutting considering uncertainty.

Predicting pavement performance using distress deterioration curves (2023)
Journal Article
Abed, A., Rahman, M., Thom, N., Hargreaves, D., Li, L., & Airey, G. (2024). Predicting pavement performance using distress deterioration curves. Road Materials and Pavement Design, 25(6), 1174-1190. https://doi.org/10.1080/14680629.2023.2238094

Highway Authorities in the UK use Surface Condition Assessment for the National Network of Roads (SCANNER) in assessing and managing their road networks. This survey vehicle utilises laser measurements to detect and quantify most of the distress on t... Read More about Predicting pavement performance using distress deterioration curves.

2D Mesoscale cracking simulation of partially saturated asphalt based on moisture diffusion and a cohesive zone model (2023)
Journal Article
Li, L., Wu, J., Thom, N., Hargreaves, D., Airey, G., Zhu, J., …Zhang, Z. (2023). 2D Mesoscale cracking simulation of partially saturated asphalt based on moisture diffusion and a cohesive zone model. International Journal of Pavement Engineering, 24(1), Article 2242557. https://doi.org/10.1080/10298436.2023.2242557

The primary objective of this paper was to develop a combined model that incorporates moisture diffusion and a cohesive zone model, addressing anisotropic and loading-rate dependent cracking within partially saturated asphalt. Utilising X-ray CT scan... Read More about 2D Mesoscale cracking simulation of partially saturated asphalt based on moisture diffusion and a cohesive zone model.

Engineering characterization and environmental analysis of natural rubber latex modified asphalt mixture (2023)
Journal Article
Suwarto, F., Parry, T., Thom, N., Airey, G., Abed, A., Rahman, T., & Wititanapanit, J. (2023). Engineering characterization and environmental analysis of natural rubber latex modified asphalt mixture. Construction and Building Materials, 402, Article 132970. https://doi.org/10.1016/j.conbuildmat.2023.132970

Natural Rubber Latex (NRL) has attracted considerable interest as a resource for renewable paving materials due to its potential to lessen environmental impact. In order to gain a thorough understanding of the performance of NRL, this study evaluated... Read More about Engineering characterization and environmental analysis of natural rubber latex modified asphalt mixture.

Analysis and Prediction of Pothole Formation Rate Using Spatial Density Measurements and Pavement Condition Indicators (2023)
Journal Article
Abed, A., Rahman, M., Thom, N., Hargreaves, D., Li, L., & Airey, G. (2023). Analysis and Prediction of Pothole Formation Rate Using Spatial Density Measurements and Pavement Condition Indicators. Transportation Research Record, 2677(11), 651-664. https://doi.org/10.1177/03611981231166684

Potholes represent one of the dangerous distress types on roads. They form as a result of various factors, including water ingress, freeze–thaw, and pavement condition deterioration. In the UK, 1.7 million potholes were repaired in 2021; this critica... Read More about Analysis and Prediction of Pothole Formation Rate Using Spatial Density Measurements and Pavement Condition Indicators.

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. (2022). Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography. Road Materials and Pavement Design, 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.

Modelling the stiffness development in asphalt concrete to obtain fatigue failure criteria (2021)
Journal Article
Chen, A., Airey, G. D., Thom, N., Litherland, J., & Adjetey Nii-Adjei, R. (2021). Modelling the stiffness development in asphalt concrete to obtain fatigue failure criteria. Construction and Building Materials, 306, Article 124837. https://doi.org/10.1016/j.conbuildmat.2021.124837

The study of fatigue is critical to good usability and durability of asphalt pavements. Inaccurate calculation of the fatigue failure criteria can cause incorrect evaluation of the fatigue performance, leading to inaccurate prediction of the pavement... Read More about Modelling the stiffness development in asphalt concrete to obtain fatigue failure criteria.