Prediction of tire–pavement friction based on asphalt mixture surface texture level and its distributions

Chen, De; Han, Sen; Ye, Anjun; Ren, Xiaochun; Wang, Wei; Wang, Tingting

doi:10.1080/14680629.2018.1560354

Cited by 20 publications

(8 citation statements)

References 15 publications

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“…e two levels of texture that predominantly affect friction are microtexture and macrotexture [27]. Previous studies [28,29] suggested that a deeper pavement texture is necessary to have sufficient wet skid resistance particularly for a vehicle travelling at higher speeds. e most important factor for skid resistance is pavement macrotexture.…”

Section: Pavement Surface Associated Factorsmentioning

confidence: 99%

“…Aggregate gradation, compaction levels achieved, and binder properties mainly influence macrotexture [33]. Previous studies by Smiley and Horne [28] and Chen et al Advances in Civil Engineering [29] suggested that a deeper pavement texture is necessary to have sufficient wet skid resistance particularly for a vehicle travelling at higher speeds. Bloem [42] showed that an average texture depth of about 0.5 mm is required as a minimum to ensure the desired depletion of water under the tire.…”

Section: Effect Of Pavement Microtexturementioning

confidence: 99%

“…Chen et al [29] Surface texture Tire-pavement friction was measured using a dynamic friction tester, and it was found to increase initially and then start decreasing till significant polishing of the surface.…”

Section: Author Parameters Commentsmentioning

confidence: 99%

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Review of Factors Controlling Skid Resistance at Tire‐Pavement Interface

Kumar

Gupta

2021

Advances in Civil Engineering

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Road safety is of prime importance for pavement engineers and maintenance authorities. Pavement resistance to skidding of the vehicle has long been recognized as one of the leading parameters governing road safety and driving comfort, especially in wet weather conditions. The knowledge of skid resistance offered by pavement surface is very valuable information for road safety enhancements. Skid resistance is defined as the force developed when a tire that is prevented from rotation slides along the pavement surface. Evaluation of skid resistance over time and estimation of factors influencing it are important for pavement maintenance and rehabilitation planning. This paper presents a state-of-the-art review of various research works carried out for assessing critical parameters like surface texture, tire tread, rain intensity, temperature, loading condition, tire inflation pressure, and pavement type which control skid resistance of asphalt pavement at tire-road interface significantly. First, a brief overview of skid resistance and its importance in asphalt pavement is provided. Then, critical parameters influencing skid resistance are identified and reviewed more elaborately. Furthermore, the key relationship between skid resistance and various controlling parameters is reviewed and presented for a better understanding of skid variation analysis. Finally, a general discussion on skid resistance governing factors, their relative importance in maintaining safety and pavement performance, the complexity involved in computation, and established relationships with skid resistance is briefly summarized.

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Section: Pavement Surface Associated Factorsmentioning

confidence: 99%

Section: Effect Of Pavement Microtexturementioning

confidence: 99%

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Review of Factors Controlling Skid Resistance at Tire‐Pavement Interface

Kumar

Gupta

2021

Advances in Civil Engineering

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“…They used statistical methods to predict the pavement friction coefficient. Chen et al [ 28 ] established a pavement friction prediction model based on macro-texture and micro-texture by using multiple nonlinear regression analysis.…”

Section: Introductionmentioning

confidence: 99%

Evaluate Pavement Skid Resistance Performance Based on Bayesian-LightGBM Using 3D Surface Macrotexture Data

Sun

Han

et al. 2022

Materials

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The lack of skid resistance performance is a crucial factor leading to road traffic accidents. The pavement surface friction is an essential indicator for measuring the skid resistance. The surface texture structure significantly affects the friction between the tire and the pavement, determining the pavement skid resistance. To deeply study the relationship between surface texture structure and pavement skid resistance performance, two types of asphalt mixture specimens, asphalt concrete (AC) and open-graded friction course (OGFC), are prepared for the skid resistance performance test. Firstly, a high-precision 3D smart sensor Gocator 3110 is used to collect the 3D point cloud data of the asphalt mixture surface texture. The British pendulum tester is used to measure the friction. Secondly, ten feature parameters are extracted to describe the 3D macrotexture characteristics. A data set containing 10 features and 200 groups of texture and friction data was also constructed. Meanwhile, the influence of macro-texture features on the skid resistance performance is discussed. Finally, an optimized Bayesian-LightGBM model is trained based on the constructed dataset. Compared with LightGBM, XGBoost, RF, and SVR algorithms, the Bayesian-LightGBM model can evaluate skid resistance more accurately. The R2 value of the proposed model is 92.83%. The research results prove that ten macrotexture features contribute to the evaluation of skid resistance to varying degrees. Furthermore, compared with AC mixture specimen, the texture surface of OGFC mixture specimen has more obvious height characteristics and higher roughness. The skid resistance of OGFC mixture specimens is better than that of AC.

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“…Steel slag-asphalt mixes have more bumps, which are prone to stress concentration and more pronounced micro-cutting action, which provides friction. It is known that the hindrance force accounts for about 10% of the tyre-road friction [51], and the cutting effect of micro-convexity accounts for about 90% of the overall friction [52,53]. • Van der Waals forces influence the skid resistance of the pavement, adhesion forces, the elastic deformation of tyres and micro-cutting forces acting on micro convex bodies [50].…”

mentioning

confidence: 99%

Analysis of Asphalt Mixtures Modified with Steel Slag Surface Texture Using 3D Scanning Technology

et al. 2023

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This paper investigates the use of steel slag in the place of basalt coarse aggregate in Stone Mastic Asphalt-13 (SMA-13) gradings in the early forming of an experimental pavement and evaluates the test performance of the mixes, combined with 3D scanning techniques to analyse the initial textural structure of the pavement. Laboratory tests were carried out to design the gradation of the two asphalt mixtures and to assess the strength, chipping and cracking resistance of the asphalt mixtures using water immersion Marshall tests, freeze–thaw splitting tests, rutting tests and for comparison with laboratory tests, while surface texture collection and analysis of the height parameters (i.e., Sp, Sv, Sz, Sq, Ssk) and morphological parameters (i.e., Spc) of the pavement were performed to assess the skid resistance of the two asphalt mixtures. Firstly, the results show that a substitution of steel slag for basalt in pavements is a good alternative for efficient resource utilization. Secondly, when steel slag was used in place of basalt coarse aggregate, the water immersion Marshall residual stability improved by approximately 28.8% and the dynamic stability by approximately 15.8%; the friction values decayed at a significantly lower rate, and the MTD did not change significantly. Thirdly, in the early stages of pavement formation, Sp, Sv, Sz, Sq and Spc showed a good linear relationship with BPN values, and these texture parameters can be used as parameters to describe steel slag asphalt pavements. Finally, this study also found that the standard deviation of peak height was higher for steel slag–asphalt mixes than for basalt–asphalt mixes, with little difference in texture depth, while the former formed more peak tips than the latter.

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Prediction of tire–pavement friction based on asphalt mixture surface texture level and its distributions

Cited by 20 publications

References 15 publications

Review of Factors Controlling Skid Resistance at Tire‐Pavement Interface

Review of Factors Controlling Skid Resistance at Tire‐Pavement Interface

Evaluate Pavement Skid Resistance Performance Based on Bayesian-LightGBM Using 3D Surface Macrotexture Data

Analysis of Asphalt Mixtures Modified with Steel Slag Surface Texture Using 3D Scanning Technology

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