Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography
In order to perform three-dimensional digital sieving based on X-ray computed tomography images, the definition of digital sieve size (DSS) was proposed, which was defined as the minimum length of the minimum bounding squares of all possible orthographic projections of an aggregate. The correspondin...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/7/7/734 |
_version_ | 1818248734528503808 |
---|---|
author | Chichun Hu Jiexian Ma M. Emin Kutay |
author_facet | Chichun Hu Jiexian Ma M. Emin Kutay |
author_sort | Chichun Hu |
collection | DOAJ |
description | In order to perform three-dimensional digital sieving based on X-ray computed tomography images, the definition of digital sieve size (DSS) was proposed, which was defined as the minimum length of the minimum bounding squares of all possible orthographic projections of an aggregate. The corresponding program was developed to reconstruct aggregate structure and to obtain DSS. Laboratory experiments consisting of epoxy-filled aggregate specimens were conducted to investigate the difference between mechanical sieve analysis and the digital sieving technique. It was suggested that concave surface of aggregate was the possible reason for the disparity between DSS and mechanical sieve size. A comparison between DSS and equivalent diameter was also performed. Moreover, the digital sieving technique was adopted to evaluate the gradation of stone mastic asphalt mixtures. The results showed that the closest proximity of the laboratory gradation curve was achieved by calibrated DSS, among gradation curves based on calibrated DSS, un-calibrated DSS and equivalent diameter. |
first_indexed | 2024-12-12T15:25:18Z |
format | Article |
id | doaj.art-2b245195dbb9476ea760481097766462 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-12-12T15:25:18Z |
publishDate | 2017-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-2b245195dbb9476ea7604810977664622022-12-22T00:20:16ZengMDPI AGApplied Sciences2076-34172017-07-017773410.3390/app7070734app7070734Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed TomographyChichun Hu0Jiexian Ma1M. Emin Kutay2College of Civil and Transportation Engineering, South China University of Technology, Wushan Road, Guangzhou 510641, ChinaCollege of Civil and Transportation Engineering, South China University of Technology, Wushan Road, Guangzhou 510641, ChinaDepartment of Civil and Environmental Engineering, Michigan State University, 3554 Engineering Blvd., East Lansing, MI 48824, USAIn order to perform three-dimensional digital sieving based on X-ray computed tomography images, the definition of digital sieve size (DSS) was proposed, which was defined as the minimum length of the minimum bounding squares of all possible orthographic projections of an aggregate. The corresponding program was developed to reconstruct aggregate structure and to obtain DSS. Laboratory experiments consisting of epoxy-filled aggregate specimens were conducted to investigate the difference between mechanical sieve analysis and the digital sieving technique. It was suggested that concave surface of aggregate was the possible reason for the disparity between DSS and mechanical sieve size. A comparison between DSS and equivalent diameter was also performed. Moreover, the digital sieving technique was adopted to evaluate the gradation of stone mastic asphalt mixtures. The results showed that the closest proximity of the laboratory gradation curve was achieved by calibrated DSS, among gradation curves based on calibrated DSS, un-calibrated DSS and equivalent diameter.https://www.mdpi.com/2076-3417/7/7/734asphalt mixtureaggregate gradationsieve analysisimage processingX-ray computed tomography |
spellingShingle | Chichun Hu Jiexian Ma M. Emin Kutay Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography Applied Sciences asphalt mixture aggregate gradation sieve analysis image processing X-ray computed tomography |
title | Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography |
title_full | Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography |
title_fullStr | Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography |
title_full_unstemmed | Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography |
title_short | Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography |
title_sort | three dimensional digital sieving of asphalt mixture based on x ray computed tomography |
topic | asphalt mixture aggregate gradation sieve analysis image processing X-ray computed tomography |
url | https://www.mdpi.com/2076-3417/7/7/734 |
work_keys_str_mv | AT chichunhu threedimensionaldigitalsievingofasphaltmixturebasedonxraycomputedtomography AT jiexianma threedimensionaldigitalsievingofasphaltmixturebasedonxraycomputedtomography AT meminkutay threedimensionaldigitalsievingofasphaltmixturebasedonxraycomputedtomography |