Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images
The performance of an asphalt mixture will deteriorate under the condition of salt erosion, but there are different opinions on the mechanism of deterioration. Few studies have focused on the relation between the change of void characteristics and performance deterioration of an asphalt mixture expo...
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doaj-44934e4198a5450e85b5a2ebb73ed6422020-11-25T00:39:42ZengMDPI AGMaterials1996-19442019-11-011222377410.3390/ma12223774ma12223774Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT ImagesRui Xiong0Wenyu Jiang1Fa Yang2Kehong Li3Bowen Guan4Hua Zhao5School of Materials Science and Engineering, Chang’an University, Xi’an 710061, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710061, ChinaYunnan Communications Investment & Construction Group Co., Ltd, Kunming 650228, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710061, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710061, ChinaSchool of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, ChinaThe performance of an asphalt mixture will deteriorate under the condition of salt erosion, but there are different opinions on the mechanism of deterioration. Few studies have focused on the relation between the change of void characteristics and performance deterioration of an asphalt mixture exposed to salt erosion. To explore the relation between the air voids characteristics of an asphalt mixture and mechanical damage under salt erosion, the mechanical damage in an asphalt mixture was measured by splitting strength. The asphalt mixture specimens, immersion solutions, asphalt mortar, and aggregate were scanned with CT technology. To segment the voids, the Otsu method was used over asphalt mortar and solution range of CT values. A three-dimensional reconstruction of the CT image was performed with Mimics 20 software to calculate the asphalt mixture’s void characteristics. On this basis, the relationships between the change in void characteristics and splitting strength were analyzed. The results showed that the ideal calculated void fraction can be obtained by threshold segmentation of the image void/asphalt mortar interface with the local CT value Otsu method. Under the salt corrosion environment, the increase of open voids of an asphalt mixture is linearly correlated with the decrease of splitting strength, while salts’ crystallization in the open voids produces crystallization pressure, accelerating the volume growth of open voids. The early damage of an asphalt mixture suffered from the salt may be mainly physical damage. These results can provide a useful reference for the performance of damage research on asphalt mixtures in salt enrichment areas.https://www.mdpi.com/1996-1944/12/22/3774asphalt mixturesalt erosionct technologyimage segmentationvoids characteristicscorrelation analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rui Xiong Wenyu Jiang Fa Yang Kehong Li Bowen Guan Hua Zhao |
spellingShingle |
Rui Xiong Wenyu Jiang Fa Yang Kehong Li Bowen Guan Hua Zhao Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images Materials asphalt mixture salt erosion ct technology image segmentation voids characteristics correlation analysis |
author_facet |
Rui Xiong Wenyu Jiang Fa Yang Kehong Li Bowen Guan Hua Zhao |
author_sort |
Rui Xiong |
title |
Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images |
title_short |
Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images |
title_full |
Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images |
title_fullStr |
Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images |
title_full_unstemmed |
Investigation of Voids Characteristics in an Asphalt Mixture Exposed to Salt Erosion Based on CT Images |
title_sort |
investigation of voids characteristics in an asphalt mixture exposed to salt erosion based on ct images |
publisher |
MDPI AG |
series |
Materials |
issn |
1996-1944 |
publishDate |
2019-11-01 |
description |
The performance of an asphalt mixture will deteriorate under the condition of salt erosion, but there are different opinions on the mechanism of deterioration. Few studies have focused on the relation between the change of void characteristics and performance deterioration of an asphalt mixture exposed to salt erosion. To explore the relation between the air voids characteristics of an asphalt mixture and mechanical damage under salt erosion, the mechanical damage in an asphalt mixture was measured by splitting strength. The asphalt mixture specimens, immersion solutions, asphalt mortar, and aggregate were scanned with CT technology. To segment the voids, the Otsu method was used over asphalt mortar and solution range of CT values. A three-dimensional reconstruction of the CT image was performed with Mimics 20 software to calculate the asphalt mixture’s void characteristics. On this basis, the relationships between the change in void characteristics and splitting strength were analyzed. The results showed that the ideal calculated void fraction can be obtained by threshold segmentation of the image void/asphalt mortar interface with the local CT value Otsu method. Under the salt corrosion environment, the increase of open voids of an asphalt mixture is linearly correlated with the decrease of splitting strength, while salts’ crystallization in the open voids produces crystallization pressure, accelerating the volume growth of open voids. The early damage of an asphalt mixture suffered from the salt may be mainly physical damage. These results can provide a useful reference for the performance of damage research on asphalt mixtures in salt enrichment areas. |
topic |
asphalt mixture salt erosion ct technology image segmentation voids characteristics correlation analysis |
url |
https://www.mdpi.com/1996-1944/12/22/3774 |
work_keys_str_mv |
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