The development of a quantitative, traffic-speed technique for the measurement of fretting is highly desirable, as it will make the identification and prioritisation of lengths of the network requiring maintenance less subjective. Previous attempts to provide automatic, machine based fretting data have shown some promise, but have had drawbacks, notably that they have relied on texture data which is only provided in the nearside wheelpath.
Work has been undertaken to develop an algorithm to identify fretting on Hot Rolled Asphalt (HRA) surfaces using laser-measured transverse profile. The algorithm development has been based on a methodology previously developed for application to individual lines of texture profile data, and expanded to make use of data from all 25 profile lasers, and portrays it in three dimensions. This should therefore provide an assessment of the severity of the fretting across the entire carriageway. This has produced an algorithm which can be used for detecting fretting, and which has been shown capable of distinguishing between lengths containing high and low levels of fretting.
This work concentrated on detecting fretting by optimising the use of profile data which could be collected without major changes to TRACS hardware or software, and is restricted to HRA surfaces.

Want to know more about this project?