Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics

For asphalt mixtures, the difference between strong force chains (SCF) can reflect the skeleton performance. In this paper, six kinds of mineral mixture discrete element model were established. And various SCF evaluation indices of different mineral mixtures were calculated. Results indicate that th...

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Main Authors: Guoqiang Liu, Dongdong Han, Yongli Zhao
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/2196503
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author Guoqiang Liu
Dongdong Han
Yongli Zhao
author_facet Guoqiang Liu
Dongdong Han
Yongli Zhao
author_sort Guoqiang Liu
collection DOAJ
description For asphalt mixtures, the difference between strong force chains (SCF) can reflect the skeleton performance. In this paper, six kinds of mineral mixture discrete element model were established. And various SCF evaluation indices of different mineral mixtures were calculated. Results indicate that the short length SCF number proportions of dense-skeleton type mineral mixtures are higher than that of dense-suspended type mineral mixtures under the same nominal maximum aggregate size (NMAS). And the NMAS has a great influence on the SCF length cumulative proportions, and different NMAS can significantly change the stress transfer path for dense-suspended type mixture. Nevertheless, the SCF length cumulative proportions have consistency for dense-skeleton type mixtures. The small SCF alignment coefficient proportions of dense-suspended type mixtures are higher than that of dense-skeleton type mixtures. In particular, under larger NMAS, the difference is more obvious. The SCF that is close to straight line is conducive to transfer loading. Therefore, dense-skeleton type mixture has better rutting resistance. The SCF bears the main loading for mixtures. Mixtures stone matrix asphalt (SMA) has a stronger bearing capacity than that of mixtures AC under the same NMAS. These findings provide insight into the mechanics of skeleton structure.
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institution Kabale University
issn 1687-8086
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publishDate 2020-01-01
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spelling doaj-art-b773e99bab4544cdb4649114154a720d2025-02-03T01:01:31ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/21965032196503Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular MechanicsGuoqiang Liu0Dongdong Han1Yongli Zhao2School of Transportation, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Transportation, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Transportation, Southeast University, Nanjing, Jiangsu 210096, ChinaFor asphalt mixtures, the difference between strong force chains (SCF) can reflect the skeleton performance. In this paper, six kinds of mineral mixture discrete element model were established. And various SCF evaluation indices of different mineral mixtures were calculated. Results indicate that the short length SCF number proportions of dense-skeleton type mineral mixtures are higher than that of dense-suspended type mineral mixtures under the same nominal maximum aggregate size (NMAS). And the NMAS has a great influence on the SCF length cumulative proportions, and different NMAS can significantly change the stress transfer path for dense-suspended type mixture. Nevertheless, the SCF length cumulative proportions have consistency for dense-skeleton type mixtures. The small SCF alignment coefficient proportions of dense-suspended type mixtures are higher than that of dense-skeleton type mixtures. In particular, under larger NMAS, the difference is more obvious. The SCF that is close to straight line is conducive to transfer loading. Therefore, dense-skeleton type mixture has better rutting resistance. The SCF bears the main loading for mixtures. Mixtures stone matrix asphalt (SMA) has a stronger bearing capacity than that of mixtures AC under the same NMAS. These findings provide insight into the mechanics of skeleton structure.http://dx.doi.org/10.1155/2020/2196503
spellingShingle Guoqiang Liu
Dongdong Han
Yongli Zhao
Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
Advances in Civil Engineering
title Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
title_full Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
title_fullStr Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
title_full_unstemmed Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
title_short Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
title_sort quantitative investigation of aggregate skeleton force chains of asphalt mixtures based on computational granular mechanics
url http://dx.doi.org/10.1155/2020/2196503
work_keys_str_mv AT guoqiangliu quantitativeinvestigationofaggregateskeletonforcechainsofasphaltmixturesbasedoncomputationalgranularmechanics
AT dongdonghan quantitativeinvestigationofaggregateskeletonforcechainsofasphaltmixturesbasedoncomputationalgranularmechanics
AT yonglizhao quantitativeinvestigationofaggregateskeletonforcechainsofasphaltmixturesbasedoncomputationalgranularmechanics