Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/115990
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Type: | Journal article |
Title: | Digital image processing on segregation of rubber sand mixture |
Author: | Wang, C. Deng, A. Taheri, A. |
Citation: | International Journal of Geomechanics, 2018; 18(10):04018138-1-04018138-13 |
Publisher: | American Society of Civil Engineers |
Issue Date: | 2018 |
ISSN: | 1532-3641 1943-5622 |
Statement of Responsibility: | Can Wang, An Deng and Abbas Taheri |
Abstract: | The segregation of rubber sand mixtures, when they form heaps, as observed by the method of digital image processing (DIP), is presented. Through segmenting the digital images into a binary picture, the DIP method enables material ingredients identification and threedimensional mapping of mixture segregation. This helps reach a better understanding of mixture heterogeneity when incorporating artificial material into conventional geotechnicalmaterials. To gain an insight into the mixture heterogeneity, the DIP results were used to validate a discrete element model, and the model was then used to examine the influence of particle properties on the segregation. The discrete element simulations showed that the particle density is critical in material segregation, and the segregation becomes more noticeable when the materials density ratio increases. This trend is restricted by increasing the interparticle surface roughness. |
Keywords: | Segregation; digital image processing; discrete element; density; roughness |
Rights: | © 2018 American Society of Civil Engineers. |
DOI: | 10.1061/(ASCE)GM.1943-5622.0001269 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140103004 |
Published version: | http://dx.doi.org/10.1061/(asce)gm.1943-5622.0001269 |
Appears in Collections: | Aurora harvest 3 Civil and Environmental Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_115990.pdf | Accepted version | 2.15 MB | Adobe PDF | View/Open |
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