Application of three-dimensional printing to pavement texture effects on rubber friction

Kanafi, Mona Mahboob; Tuononen, Ari J.

doi:10.1080/14680629.2016.1194883

Cited by 23 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the application of theoretical models in the tire-road co fied [7]. Mahboob Kanafi and Tuononen [8] and Xiao et al [9] calculat etration depth based on Persson's contact mechanism with conditiona numerical simulation has also been used to study tire-road contact. Zheng et al [11] integrated the pavement texture into tire-road conta However, the meshing placed high requirements on the computing a due to the pavement roughness.…”

Section: Status Of Current Research On Rubber Enveloping Of Pavement ...mentioning

confidence: 99%

“…However, the application of theoretical models in the tire-road contact must be verified [7]. Mahboob Kanafi and Tuononen [8] and Xiao et al [9] calculated the average penetration depth based on Persson's contact mechanism with conditional assumptions. The numerical simulation has also been used to study tire-road contact.…”

Section: Status Of Current Research On Rubber Enveloping Of Pavement ...mentioning

confidence: 99%

See 1 more Smart Citation

A New Approach for Determining Rubber Enveloping on Pavement and Its Implications for Friction Estimation

Yun,

Tang,

Sandberg

et al. 2024

Coatings

View full text Add to dashboard Cite

The depth to which the pavement texture is enveloped by the tire tread rubber (d) is an important parameter related to contact performance. This study presents a new method (S-BAC), which relies on the ratio between the real contact area and the nominal tire-pavement contact area (S) and the bearing area curve (BAC), to measure the depth on pavements. The tire-pavement contact was simulated by contact between a non-patterned rubber block and pavement specimens. After analyzing the affecting factors, the new method was compared with previous methods by the d values and the application on the relationship between pavement texture parameters and friction. The results reveal that though there is a linear regression between the d obtained with the S-BAC and previous methods, the d values obtained with different methods differ. Applying the S-BAC method can strengthen the relationship between texture parameters and friction more than other methods.

show abstract

Section: Status Of Current Research On Rubber Enveloping Of Pavement ...mentioning

confidence: 99%

Section: Status Of Current Research On Rubber Enveloping Of Pavement ...mentioning

confidence: 99%

A New Approach for Determining Rubber Enveloping on Pavement and Its Implications for Friction Estimation

Yun,

Tang,

Sandberg

et al. 2024

Coatings

View full text Add to dashboard Cite

show abstract

“…Undoubtedly, there are no satisfactory single‐length‐scaled morphology indicators to quantify cross‐scaled topology features. The only two cross‐scaled works found in the literature (Kanafi & Tuononen, 2017; C. Wei et al., 2016) both used the inverse discrete Fourier transform (IDFT) to randomly generate the pavement uneven profile with specified

{D}_f

and RMS. Nevertheless, the generated fractal surface is in a state of continuum, ignoring the discrete nature of the aggregates distributed on it.…”

Section: Introductionmentioning

confidence: 99%

Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks

Pan

Ren

et al. 2023

Computer aided Civil Eng

View full text Add to dashboard Cite

The high cost of collecting surficial textures has been the bottleneck problem for many decades. To bridge this gap, this study aims to propose a complete framework based on the generative adversarial networks (GANs) architecture for texture regeneration using limited texture data samples. Four variants of the GAN were compared to achieve the best regeneration performance. Prior to running GAN, specifically improved data augmentation and modified sigmoid normalization operations were dedicated to avoiding the loss of texture information and the non‐convergence problem. After running GAN, the estimation metrics were introduced and discussed separately to quantitatively evaluate the rationality and diversity of the regenerated textures. The results demonstrated that the use of improved data augmentation and normalization methods significantly enhanced the regeneration capability of GAN, and more importantly the skewed distribution of surficial heights which is not achievable by present texture regeneration methods was most effectively regenerated by deep regret analytic GAN with well generalization ability. Our study provides a promising choice to generate virtually realistic pavement surface textures.

show abstract

“…Yu and Chen (2018) discussed the artificial generated fractal surface and proposed a semi-analytical elastic–plastic contact model. Kanafi and Tuononen (2017) studied the feasibility of 3D printing technology to evaluate the effect of road surface texture on friction by generating artificial surface. Panagouli and Kokkalis (1998) generated fractal curves having rough or smooth macro-texture and harsh or polished micro-texture to approximate pavement surface texture.…”

Section: Introductionmentioning

confidence: 99%

Discrete element analysis of friction performance for tire-road interaction

Pan

Che

et al. 2020

ILT

View full text Add to dashboard Cite

Purpose This study aims to investigate the influence of surface texture distribution in respect to the procedure of pavement surface wear on friction performance. Design/methodology/approach The Weierstrass–Mandelbrot (W-M) equation is used to appropriate pavement surface profile. Through this approximation, artificial rough profiles by combining fractal parameters and conventional statistical parameters for different macro-texture are created to simulate the procedure of pavement surface wear. Those artificial profiles are then imported into discrete element model to calculate the interaction forces and friction coefficient between rolling tire and road. Furthermore, wavelet theory is used to decompose the profiles into different scales and explore the correlation between the profiles of each scale and pavement friction. Findings The influence of tire vertical displacement (TVD) on friction coefficient is greater than fractal dimension of road surface texture. When TVD decreases, the profiles can provide higher friction, but the rolling stability of tire is poor. The optimal fractal dimension of road surface is about 1.5 when considering friction performance. The pavement friction performance improves with wavelength from 0.4 to 6.4mm and decreases with wavelength from 12.8 to 51.2mm. Originality/value Artificial fractal curves are generated and analyzed by combining W-M function with traditional parameter, which can also be used to analyze the influence of texture distribution on other pavement performance. The preliminary research provides a potential approach for the evaluation of pavement friction performance. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2019-0499/

show abstract

Application of three-dimensional printing to pavement texture effects on rubber friction

Cited by 23 publications

References 25 publications

A New Approach for Determining Rubber Enveloping on Pavement and Its Implications for Friction Estimation

A New Approach for Determining Rubber Enveloping on Pavement and Its Implications for Friction Estimation

Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks

Discrete element analysis of friction performance for tire-road interaction

Contact Info

Product

Resources

About