An improved differential box counting method to measure fractal dimensions for pavement surface skid resistance evaluation. (June 2021)
- Record Type:
- Journal Article
- Title:
- An improved differential box counting method to measure fractal dimensions for pavement surface skid resistance evaluation. (June 2021)
- Main Title:
- An improved differential box counting method to measure fractal dimensions for pavement surface skid resistance evaluation
- Authors:
- Liu, Cheng
Zhan, You
Deng, Qiangsheng
Qiu, Yanjun
Zhang, Allen - Abstract:
- Highlights: Proposing an improved Differential Box Counting Method to estimate fractal dimension pavement texture. Verifying the improvement of the improved algorithm in terms of precision and accuracy. Proposing the 3D asphalt pavement surface morphology re-construction and stratification approaches. Correlating the proposed pavement texture indicator to skid resistance performance under different texture layers. Identifying the most effective contact layer for pavement skid resistance evaluation. Abstract: Fractal dimension had been recognized as a texture indicator to evaluate skid resistance performance of pavement surface. One of the most frequently used methodologies to measure fractal dimension is differential box counting (DBC). This paper proposes an improved DBC (IMDBC) to estimate fractal dimension of three-dimensional (3D) pavement texture image based on grid displacement mechanism. Considering the contact characteristics between pavement surface and tire, the most suitable fractal texture surface for skid resistance is found based on the fractal and stratification method. The IMDBC improves the fitting accuracy by 18.8% (complete texture) and 900% (partial texture) compared to the traditional DBC. The correlation coefficient between the fractal dimension and friction reaches up to 0.6 when vertical height ratio is 0.5 ~ 0.6 h, which means that the proposed fractal dimension indicator of the upper layer texture could be used as a potential parameter to evaluateHighlights: Proposing an improved Differential Box Counting Method to estimate fractal dimension pavement texture. Verifying the improvement of the improved algorithm in terms of precision and accuracy. Proposing the 3D asphalt pavement surface morphology re-construction and stratification approaches. Correlating the proposed pavement texture indicator to skid resistance performance under different texture layers. Identifying the most effective contact layer for pavement skid resistance evaluation. Abstract: Fractal dimension had been recognized as a texture indicator to evaluate skid resistance performance of pavement surface. One of the most frequently used methodologies to measure fractal dimension is differential box counting (DBC). This paper proposes an improved DBC (IMDBC) to estimate fractal dimension of three-dimensional (3D) pavement texture image based on grid displacement mechanism. Considering the contact characteristics between pavement surface and tire, the most suitable fractal texture surface for skid resistance is found based on the fractal and stratification method. The IMDBC improves the fitting accuracy by 18.8% (complete texture) and 900% (partial texture) compared to the traditional DBC. The correlation coefficient between the fractal dimension and friction reaches up to 0.6 when vertical height ratio is 0.5 ~ 0.6 h, which means that the proposed fractal dimension indicator of the upper layer texture could be used as a potential parameter to evaluate pavement surface skid resistance performance. … (more)
- Is Part Of:
- Measurement. Volume 178(2021)
- Journal:
- Measurement
- Issue:
- Volume 178(2021)
- Issue Display:
- Volume 178, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 178
- Issue:
- 2021
- Issue Sort Value:
- 2021-0178-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06
- Subjects:
- Pavement skid resistance -- 3D texture image -- Fractal dimension -- Differential box counting
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2021.109376 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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