Effect of thresholding algorithms on pervious pavement skid resistance

A. Jagadeesh; G. P. Ong; Y. M. Su

doi:10.1201/9781003027362-40

Effect of thresholding algorithms on pervious pavement skid resistance

A. Jagadeesh, G. P. Ong, Y. M. Su

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

The primary usage of pervious concrete mixtures in pavement construction is to improve the functional performance of pavements through increasing skid resistance and hydroplaning speeds (by dispersing the hydrodynamic pressure developed at the tire-pavement interface) and increasing the water infiltration and tire-pavement contact area at higher speeds, thereby reducing the wet weather accidents. Past skid resistance simulation models for pervious pavements considered the use of artificial pore grid models, but with today's advanced X-Ray computed tomography (XRCT) technologies, it is now possible to develop realistic pavement models for skid resistance simulation. This paper aims to investigate the effect of thresholding - a crucial step in image segmentation - on skid resistance of pervious concrete pavements, whose pore structures are derived from XRCT. It was found from the analysis presented in this paper that the various thresholding algorithms are found to be either under- or over-estimating the uplift and drag forces, as compared to the discharge-based thresholding algorithm. Errors in skid number due to thresholding are however found to be marginal (with up to 2 SN or 3% error).

Original language	English
Title of host publication	Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020
Editors	A. Kumar, A.T. Papagiannakis, A. Bhasin, D. Little
Publisher	CRC Press / Balkema - Taylor & Francis Group
Pages	167-170
Number of pages	4
ISBN (Electronic)	9780367461690
DOIs	https://doi.org/10.1201/9781003027362-40
Publication status	Published - 2020
Externally published	Yes
Event	2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020 - San Antonio, United States Duration: 27 May 2020 → 29 May 2020

Conference

Conference	2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020
Country/Territory	United States
City	San Antonio
Period	27/05/20 → 29/05/20

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10.1201/9781003027362-40

Cite this

Jagadeesh, A., Ong, G. P., & Su, Y. M. (2020). Effect of thresholding algorithms on pervious pavement skid resistance. In A. Kumar, A. T. Papagiannakis, A. Bhasin, & D. Little (Eds.), Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020 (pp. 167-170). CRC Press / Balkema - Taylor & Francis Group. https://doi.org/10.1201/9781003027362-40

Jagadeesh, A. ; Ong, G. P. ; Su, Y. M. / Effect of thresholding algorithms on pervious pavement skid resistance. Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020. editor / A. Kumar ; A.T. Papagiannakis ; A. Bhasin ; D. Little. CRC Press / Balkema - Taylor & Francis Group, 2020. pp. 167-170

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title = "Effect of thresholding algorithms on pervious pavement skid resistance",

abstract = "The primary usage of pervious concrete mixtures in pavement construction is to improve the functional performance of pavements through increasing skid resistance and hydroplaning speeds (by dispersing the hydrodynamic pressure developed at the tire-pavement interface) and increasing the water infiltration and tire-pavement contact area at higher speeds, thereby reducing the wet weather accidents. Past skid resistance simulation models for pervious pavements considered the use of artificial pore grid models, but with today's advanced X-Ray computed tomography (XRCT) technologies, it is now possible to develop realistic pavement models for skid resistance simulation. This paper aims to investigate the effect of thresholding - a crucial step in image segmentation - on skid resistance of pervious concrete pavements, whose pore structures are derived from XRCT. It was found from the analysis presented in this paper that the various thresholding algorithms are found to be either under- or over-estimating the uplift and drag forces, as compared to the discharge-based thresholding algorithm. Errors in skid number due to thresholding are however found to be marginal (with up to 2 SN or 3% error).",

author = "A. Jagadeesh and Ong, {G. P.} and Su, {Y. M.}",

year = "2020",

doi = "10.1201/9781003027362-40",

language = "English",

pages = "167--170",

editor = "A. Kumar and A.T. Papagiannakis and A. Bhasin and D. Little",

booktitle = "Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020",

publisher = "CRC Press / Balkema - Taylor & Francis Group",

note = "2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020 ; Conference date: 27-05-2020 Through 29-05-2020",

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Jagadeesh, A, Ong, GP & Su, YM 2020, Effect of thresholding algorithms on pervious pavement skid resistance. in A Kumar, AT Papagiannakis, A Bhasin & D Little (eds), Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020. CRC Press / Balkema - Taylor & Francis Group, pp. 167-170, 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020, San Antonio, United States, 27/05/20. https://doi.org/10.1201/9781003027362-40

Effect of thresholding algorithms on pervious pavement skid resistance. / Jagadeesh, A.; Ong, G. P.; Su, Y. M.
Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020. ed. / A. Kumar; A.T. Papagiannakis; A. Bhasin; D. Little. CRC Press / Balkema - Taylor & Francis Group, 2020. p. 167-170.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Effect of thresholding algorithms on pervious pavement skid resistance

AU - Jagadeesh, A.

AU - Ong, G. P.

AU - Su, Y. M.

PY - 2020

Y1 - 2020

N2 - The primary usage of pervious concrete mixtures in pavement construction is to improve the functional performance of pavements through increasing skid resistance and hydroplaning speeds (by dispersing the hydrodynamic pressure developed at the tire-pavement interface) and increasing the water infiltration and tire-pavement contact area at higher speeds, thereby reducing the wet weather accidents. Past skid resistance simulation models for pervious pavements considered the use of artificial pore grid models, but with today's advanced X-Ray computed tomography (XRCT) technologies, it is now possible to develop realistic pavement models for skid resistance simulation. This paper aims to investigate the effect of thresholding - a crucial step in image segmentation - on skid resistance of pervious concrete pavements, whose pore structures are derived from XRCT. It was found from the analysis presented in this paper that the various thresholding algorithms are found to be either under- or over-estimating the uplift and drag forces, as compared to the discharge-based thresholding algorithm. Errors in skid number due to thresholding are however found to be marginal (with up to 2 SN or 3% error).

AB - The primary usage of pervious concrete mixtures in pavement construction is to improve the functional performance of pavements through increasing skid resistance and hydroplaning speeds (by dispersing the hydrodynamic pressure developed at the tire-pavement interface) and increasing the water infiltration and tire-pavement contact area at higher speeds, thereby reducing the wet weather accidents. Past skid resistance simulation models for pervious pavements considered the use of artificial pore grid models, but with today's advanced X-Ray computed tomography (XRCT) technologies, it is now possible to develop realistic pavement models for skid resistance simulation. This paper aims to investigate the effect of thresholding - a crucial step in image segmentation - on skid resistance of pervious concrete pavements, whose pore structures are derived from XRCT. It was found from the analysis presented in this paper that the various thresholding algorithms are found to be either under- or over-estimating the uplift and drag forces, as compared to the discharge-based thresholding algorithm. Errors in skid number due to thresholding are however found to be marginal (with up to 2 SN or 3% error).

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M3 - Conference contribution

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EP - 170

BT - Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020

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A2 - Papagiannakis, A.T.

A2 - Bhasin, A.

A2 - Little, D.

PB - CRC Press / Balkema - Taylor & Francis Group

T2 - 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020

Y2 - 27 May 2020 through 29 May 2020

ER -

Jagadeesh A, Ong GP, Su YM. Effect of thresholding algorithms on pervious pavement skid resistance. In Kumar A, Papagiannakis AT, Bhasin A, Little D, editors, Advances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020. CRC Press / Balkema - Taylor & Francis Group. 2020. p. 167-170 doi: 10.1201/9781003027362-40

Effect of thresholding algorithms on pervious pavement skid resistance

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