All Outputs (3)

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, Article 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.