Estimation of the Kinetic Coefficient of Friction of Asphalt Pavements Using the Top Topography Surface Roughness Power Spectrum
Bo Sun, Haoyuan Luo, Yibo Rong, Yanqin Yang
TL;DR
This paper introduces a new method to estimate asphalt pavement friction using surface roughness data, improving accuracy by focusing on top surface features.
Contribution
The novel approach uses top surface roughness power spectra and a cutting plane at 0.5 RMS height to estimate kinetic friction more accurately.
Findings
The cutting plane at 0.5 RMS height showed highest robustness across pavement types.
Estimated COF values matched measured values closely for all four tested surfaces.
The method excludes non-contacting deep roughness components, improving friction estimation.
Abstract
This study proposes a method for estimating the kinetic coefficient of friction (COF) for asphalt pavements by improving and applying Persson’s friction theory. The method utilizes the power spectral density (PSD) of the top surface topography instead of the full PSD to better reflect the actual contact conditions. This approach avoids including deeper roughness components that do not contribute to real rubber–pavement contact due to surface skewness. The key aspect of the method is determining an appropriate cutting plane to isolate the top surface. Four cutting strategies were evaluated. Results show that the cutting plane defined at 0.5 times the root mean square (RMS) height exhibits the highest robustness across all pavement types, with the estimated COF closely matching the measured values for all four tested surfaces. This study presents an improved method for estimating the…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdhesion, Friction, and Surface Interactions · Brake Systems and Friction Analysis · Railway Engineering and Dynamics