A state-of-the-art review of asphalt pavement surface texture and its measurement techniques

Chen, Siyu; Liu, Xiyin; Luo, Haoyuan; Yu, Jianying; Chen, Fuda; Zhang, Yang; Huang, Xiaoming

doi:10.1016/j.jreng.2022.05.003

Cited by 66 publications

(18 citation statements)

References 64 publications

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“…As concerns the factors mainly taking part in friction as considered in the vehicle dynamics field, two mechanisms, shown in Figure 2 , are involved at the rubber–road interface [ 29 ]: The first is the frequency excitation due to the road texture. The rubber is deformed when it slips over the rough unevenness of the road, whose size varies from centimeters (macrotexture) to microns (microtexture) [ 30 ], dissipating an amount of power different on each frequency range. This mechanism, usually described as hysteretic friction, is linked to the penetration of road roughness indenters into the rubber of the tire tread and is responsible for the solicitations shifting at various frequencies of the polymers’ “master curves” following the W.L.F.…”

Section: Basic Concepts On Viscoelasticity and Friction Principles Fo...mentioning

confidence: 99%

Analysis of the Scenarios of Use of an Innovative Technology for the Fast and Nondestructive Characterization of Viscoelastic Materials in the Tires Field

Farroni,

Timpone,

Genovese

2024

Sensors

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The properties of tires related to their viscoelastic behavior have a significant impact in the field of vehicle dynamics. They affect the performance and safety of a vehicle based on how they change when the tire performs in variable thermal conditions, interacts with various kinds of road surfaces, and accumulates mileage over time. To analyze and understand such properties of viscoelastic materials, destructive tests like dynamic mechanical analysis (DMA) are used, which make the tire unusable after the test; these are usually carried out on specimens cut from the zone of interest. The development of an innovative testing methodology connected to a hardware device called VESevo allows the characterization of the viscoelastic properties of tire compounds belonging to tread or other parts in a fast and nondestructive way. This new device provides valuable information about the evolution of the tire’s viscoelastic properties, allowing it to monitor them throughout the whole lifecycle. In the paper, an overview of the possible sensitivities that can be investigated thanks to the VESevo is provided: The tread viscoelasticity was characterized and monitored for several tire tread compounds, over tire mileage, over tread thermal curing cycles, and as an index of the tread quality and uniformity in production. Preliminary results were collected and are presented. In the final paragraph, further recent applications developed from the tire field, which are not directly related, are reported.

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Section: Basic Concepts On Viscoelasticity and Friction Principles Fo...mentioning

confidence: 99%

Analysis of the Scenarios of Use of an Innovative Technology for the Fast and Nondestructive Characterization of Viscoelastic Materials in the Tires Field

Farroni,

Timpone,

Genovese

2024

Sensors

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“…There is a consensus in the literature that a ''rougher'' pavement macrotexture implies higher RR, but there is still some confusion on ''how much'' RR increases with macrotexture and ''how to quantify'' macrotexture with respect to RR (52). The question of ''how to quantify'' is challenging because pavementmacrotexture evaluation is a science by itself that can be analyzed from various aspects, such as statistical geometric characteristics, spectral characteristics, and fractal/multifractal characteristics (53). These questions are relevant from a pavement engineering standpoint, since some authors believe there is a trade-off between grip performance and the RR caused by pavement macrotexture (54).…”

Section: Macrotexturementioning

confidence: 99%

Effects of Pavement Characteristics on Rolling Resistance of Heavy Vehicles: A Literature Review

Levesque

Bégin‐Drolet

Lépine

2023

Transportation Research Record: Journal of the Transportation R

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The effects of pavement characteristics on rolling resistance of heavy vehicles have gained more interest in recent years. Rolling resistance is the result of the combination of independent (but sometimes correlated) physical phenomena that dissipate energy, which can be regrouped under three different main themes. Road roughness (wavelengths between 0.5 and 50 m) causes movements in vehicle suspensions, which dissipate energy. Pavement macrotexture (wavelengths between 0.5 and 50 mm) creates additional viscoelastic deformations on tire treads. The viscoelastic behavior of the flexible pavement structure, which is referred to as structure-induced rolling resistance, is responsible for a perpetual upward slope perceived by heavy vehicle tires. Secondary aspects can also affect rolling resistance, such as road wetness and snow. This paper addresses each of these three main phenomena from three angles of analysis: (1) theoretical modeling, (2) laboratory experiments, and (3) in situ measurements. The literature on road roughness and structure-induced rolling resistance modeling is extensive compared to macrotexture-effect modeling, as the underlying physical mechanisms are still not well understood. There is, however, strong experimental evidence that the pavement macrotexture can significantly affect rolling resistance, but these studies are mostly related to cars. There are many in situ approaches, but the results are usually based on an indirect method and the different studies are difficult to compare and sometimes inconsistent. It appears that the bottleneck of scientific research on this topic is the fundamental inability to measure the rolling resistance of heavy vehicles with a direct in situ approach under real driving conditions.

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“…We calculated the PWI value complying with JTG H20-2018 from the 3D data of the pavement surface. Then we extract several parameters [12] from the 3D data and introduced them into our neural networks, trained the networks, finally built an effective neural network for predicting road wear from 2D images. For the 2D images could be conveniently and efficiently obtained, this method could greatly simplify the PWI testing process.…”

Section: Establishment Of Road Wear Modelmentioning

confidence: 99%

Intelligent detection of asphalt pavement abrasion status based on laser and mobile images

Chen,

Xie,

et al. 2023

International Conference on Precision Instruments and Optical Engineering (PIOE 2023)

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A state-of-the-art review of asphalt pavement surface texture and its measurement techniques

Cited by 66 publications

References 64 publications

Analysis of the Scenarios of Use of an Innovative Technology for the Fast and Nondestructive Characterization of Viscoelastic Materials in the Tires Field

Analysis of the Scenarios of Use of an Innovative Technology for the Fast and Nondestructive Characterization of Viscoelastic Materials in the Tires Field

Effects of Pavement Characteristics on Rolling Resistance of Heavy Vehicles: A Literature Review

Intelligent detection of asphalt pavement abrasion status based on laser and mobile images

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