All Outputs (4)

Roughness Prediction of Jointed Plain Concrete Pavement Using Physics Informed Neural Networks (2024)
Journal Article

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.

Predicting pavement performance using distress deterioration curves (2023)
Journal Article

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

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.

Analysis and Prediction of Pothole Formation Rate Using Spatial Density Measurements and Pavement Condition Indicators (2023)
Journal Article

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.