AI Article Synopsis

  • - Skid resistance affects roadway safety and previous studies have used numerical simulations for prediction, but relied on subjective friction parameters for input.
  • - This paper presents a finite element method (FEM)-based approach that utilizes real 3D pavement surface texture and skid resistance data to enhance simulation accuracy.
  • - It analyzes pavement texture at macro and micro scales and employs principal component analysis (PCA) to quantify how these textures influence friction parameters, improving model input for better skid resistance predictions.

Article Abstract

Skid resistance is an important surface characteristic that influences roadway safety. Various studies have been performed to understand the interaction between pavement and tires through numerical simulation for skid resistance prediction. However, the friction parameters required for simulation inputs are generally determined by objective assumptions. This paper develops a finite element method (FEM)-based skid resistance simulation framework using in-situ 3D pavement surface texture and skid resistance data. A 3D areal pavement model is reconstructed from high resolution asphalt pavement surface texture data. The exponential decay friction model is implemented in the simulation and the interface friction parameters required for the simulation are determined using the binary search back-calculation approach based on a trial process with the desired level of differences between simulated and observed skid numbers. To understand the influence of texture characteristics on interface friction parameters, the high-resolution 3D texture data is separated into macro- and micro-scales through Butterworth filtering and various areal texture indicators are calculated at both levels. Principal component analysis (PCA) regression analysis is conducted to quantify the relationship between various texture characteristics and the interface friction parameters. The results from this study can be used to better prepare the inputs of friction parameters for FEM simulation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926992PMC
http://dx.doi.org/10.3390/ma12233821DOI Listing

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