Automated Shape Analysis and DEM Study on Graded Crushed Stone
Graded crushed stone (GCS), as a cheap and essential component, is of great importance in road construction. The irregularity and variability of particle shape is known to affect the packing characteristics of GCS, such as compactness and void ratio. In this study, the realistic particle outline is...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/3463363 |
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| author | Hao Bai Ruidong Li Xiangyu Hu Fei Chen Zhiyong Liao |
| author_facet | Hao Bai Ruidong Li Xiangyu Hu Fei Chen Zhiyong Liao |
| author_sort | Hao Bai |
| collection | DOAJ |
| description | Graded crushed stone (GCS), as a cheap and essential component, is of great importance in road construction. The irregularity and variability of particle shape is known to affect the packing characteristics of GCS, such as compactness and void ratio. In this study, the realistic particle outline is first automatically extracted based on digital image processing and deep learning algorithms. Then, the elongation (EI), roundness (Rd), and roughness (Rg) of GCS are quantified by shape evaluation algorithms. Moreover, based on the establishment of the GCS shape library, the gravity deposition with various elongations is simulated using the discrete element method to study the packing features of GCS. The elongation effects on the macroscopic and microscopic quantities are explored. Finally, the shear behavior of GCS is studied. The results illustrate that elongation has a significant effect on the packing of GCS. |
| format | Article |
| id | doaj-art-325fe535877943b1b55f4b4a0b3183a2 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-325fe535877943b1b55f4b4a0b3183a22025-02-03T07:23:30ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422021-01-01202110.1155/2021/34633633463363Automated Shape Analysis and DEM Study on Graded Crushed StoneHao Bai0Ruidong Li1Xiangyu Hu2Fei Chen3Zhiyong Liao4Sichuan Expressway Construction & Development Group Co., Ltd., Chengdu 610041, ChinaSchool of Civil Engineering, Central South University, Changsha 410075, ChinaSchool of Civil Engineering, Central South University, Changsha 410075, ChinaShudao Investment Group Co., Ltd., Chengdu 610041, ChinaSichuan Expressway Construction & Development Group Co., Ltd., Chengdu 610041, ChinaGraded crushed stone (GCS), as a cheap and essential component, is of great importance in road construction. The irregularity and variability of particle shape is known to affect the packing characteristics of GCS, such as compactness and void ratio. In this study, the realistic particle outline is first automatically extracted based on digital image processing and deep learning algorithms. Then, the elongation (EI), roundness (Rd), and roughness (Rg) of GCS are quantified by shape evaluation algorithms. Moreover, based on the establishment of the GCS shape library, the gravity deposition with various elongations is simulated using the discrete element method to study the packing features of GCS. The elongation effects on the macroscopic and microscopic quantities are explored. Finally, the shear behavior of GCS is studied. The results illustrate that elongation has a significant effect on the packing of GCS.http://dx.doi.org/10.1155/2021/3463363 |
| spellingShingle | Hao Bai Ruidong Li Xiangyu Hu Fei Chen Zhiyong Liao Automated Shape Analysis and DEM Study on Graded Crushed Stone Advances in Materials Science and Engineering |
| title | Automated Shape Analysis and DEM Study on Graded Crushed Stone |
| title_full | Automated Shape Analysis and DEM Study on Graded Crushed Stone |
| title_fullStr | Automated Shape Analysis and DEM Study on Graded Crushed Stone |
| title_full_unstemmed | Automated Shape Analysis and DEM Study on Graded Crushed Stone |
| title_short | Automated Shape Analysis and DEM Study on Graded Crushed Stone |
| title_sort | automated shape analysis and dem study on graded crushed stone |
| url | http://dx.doi.org/10.1155/2021/3463363 |
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