Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

Measurement and Characterization of Aggregate Surface Texture

Authors
Xin-li Gan
Corresponding Author
Xin-li Gan
Available Online February 2017.
DOI
https://doi.org/10.2991/icmeim-17.2017.71How to use a DOI?
Keywords
Road engineering, Aggregate, Surface Texture, 3D Scanning, Roughness
Abstract
The surface texture of aggregates has an important influence on the amount of aggregate adsorbed asphalt and the adhesion properties between asphalt and aggregates . The purpose of this paper is to select appropriate methods to characterize and measure the surface characteristics of aggregates. To this end, the Contour GT 3D laser profiler was used to measure the surface texture of aggregates, and the aggregate surface texture parameters and the 3D scanning images of 5 kinds of commonly used aggregates in road engineering were obtained. The results show that the contour arithmetic mean deviation Ra and the contour root mean square deviation Rq can be used to describe the surface roughness of aggregates, and the height of the contour unit (Rt) of aggregate texture is about 1.5 m, which belongs to the typical mesostructure.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Part of series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmeim-17.2017.71How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xin-li Gan
PY  - 2017/02
DA  - 2017/02
TI  - Measurement and Characterization of Aggregate Surface Texture
BT  - 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 420
EP  - 425
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.71
DO  - https://doi.org/10.2991/icmeim-17.2017.71
ID  - Gan2017/02
ER  -