Two-dimensional profiles extracted from three-dimensional pavement surface textures acquired by close-range photogrammetry are employed as geometrical input for modeling complex interfaces in finite element contact simulations of viscoelastic materials. The methodology allows to establish a robust computational framework for the systematic investigation of possible correlations between the simulated viscoelastic friction coefficients of profiles, the profile roughness descriptors, and the measured surface frictional performance assessed through the static skid resistance tester (SRT) parameter. The study shows that the proposed methodology successfully recovers consistent values of the friction coefficient in the range of velocities typical of the equivalent experimental tests. The methodology is suitable for large-scale statistical analyses and uncertainty quantification, which emerge as key aspects for future research.

A computational framework for evaluating tire-asphalt hysteretic friction including pavement roughness / Ban, I., Bonari, J., Paggi, M.. - In: LUBRICANTS. - ISSN 2075-4442. - 14:10(2026). [10.3390/lubricants14100375]

A computational framework for evaluating tire-asphalt hysteretic friction including pavement roughness

Paggi Marco
Membro del Collaboration Group
2026

Abstract

Two-dimensional profiles extracted from three-dimensional pavement surface textures acquired by close-range photogrammetry are employed as geometrical input for modeling complex interfaces in finite element contact simulations of viscoelastic materials. The methodology allows to establish a robust computational framework for the systematic investigation of possible correlations between the simulated viscoelastic friction coefficients of profiles, the profile roughness descriptors, and the measured surface frictional performance assessed through the static skid resistance tester (SRT) parameter. The study shows that the proposed methodology successfully recovers consistent values of the friction coefficient in the range of velocities typical of the equivalent experimental tests. The methodology is suitable for large-scale statistical analyses and uncertainty quantification, which emerge as key aspects for future research.
2026
Photogrammetry
Hysteretic friction
Finite elements
Viscoelasticity
Pavement roughness
Digital surface models
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Descrizione: A Computational Framework for Evaluating Tire-Asphalt Hysteretic Friction Including Pavement Roughness
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11771/44560
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