Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique
Joint Authors
Hou, Yue
Sun, Fengyan
Guo, Meng
Huang, Yucheng
Source
Advances in Materials Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-15
Country of Publication
Egypt
No. of Pages
7
Abstract EN
Fractal is a mathematical set that has a fractal dimension which usually exceeds its topological dimension and may be nonintegral.
Since the asphalt pavement texture has limitations of randomness and self-similarity, fractal theory has been explored to quantify the asphalt pavement texture and employs good applicability in processing and analyzing the complex details of research object.
In this paper, the 2D digital image of the pavement surface is measured in terms of area fractal dimension and contour fractal dimension, which are used to correlate with aggregate gradation and British Pendulum Number (BPN) value, respectively.
It turns out the area fractal dimension of aggregate provides a simple way to acquire the continuous gradation of asphalt concrete sample and the contour fractal dimension is an available parameter to characterize roughness and friction of pavement surface texture.
American Psychological Association (APA)
Hou, Yue& Huang, Yucheng& Sun, Fengyan& Guo, Meng. 2016. Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1096455
Modern Language Association (MLA)
Hou, Yue…[et al.]. Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1096455
American Medical Association (AMA)
Hou, Yue& Huang, Yucheng& Sun, Fengyan& Guo, Meng. Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1096455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096455