Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures
Rutting deformation is one of the most prominent diseases in asphalt pavement’s early damage. In this paper, it analyzes the relation and their distribution law between Marshall stability and the physical and mechanical indices of asphalt mixtures based upon a correlation analysis and statistical pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509522002236 |
| _version_ | 1811244565518090240 |
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| author | Rui Guo Fei zhou Tengfei Nian |
| author_facet | Rui Guo Fei zhou Tengfei Nian |
| author_sort | Rui Guo |
| collection | DOAJ |
| description | Rutting deformation is one of the most prominent diseases in asphalt pavement’s early damage. In this paper, it analyzes the relation and their distribution law between Marshall stability and the physical and mechanical indices of asphalt mixtures based upon a correlation analysis and statistical principles, which is to find the reasonable range of rutting performance design parameters of asphalt pavement. The results showed that the asphalt mixture’s stability increased with the increase in bulk volume relative density and asphalt saturation, but decreased with the increase in the percent of air-voids and the voids in the mineral aggregate. The optimal fitting function of bulk volume relative density and asphalt saturation for AC-13 asphalt mixture follows a Weibull distribution, that of Marshall stability and air-voids follows a Gamma distribution, and that of percent voids in the mineral aggregate and flow value follows a Lognormal distribution. For a GAM-16 asphalt mixture, the optimal fitting function of bulk volume relative density and Marshall stability follows the Weibull distribution, the optimal fitting function of air-voids follows a Gamma distribution, that of flow value and percent voids in the mineral aggregate follows a Lognormal distribution, and asphalt saturation follows a Normal distribution. It is recommended that AC-13 asphalt mixtures’bulk volume relative density ranges from 2.27～2.38 g·cm3, the air-voids ranges from 3.4～6.0%, and GAM-16 asphalt mixtures’bulk volume relative density ranges from 2.29～2.37 g·cm3, the voids in mineral aggregate ranges from 17～18.17%, the asphalt saturation ranges from 75～82.13%, which can provide a reference for in-depth understanding of the deformation characteristics and construction of highways’ pavement in similar areas. |
| first_indexed | 2024-04-12T14:27:24Z |
| format | Article |
| id | doaj.art-4cae97f974a44b6280e44c686e4d9a09 |
| institution | Directory Open Access Journal |
| issn | 2214-5095 |
| language | English |
| last_indexed | 2024-04-12T14:27:24Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj.art-4cae97f974a44b6280e44c686e4d9a092022-12-22T03:29:24ZengElsevierCase Studies in Construction Materials2214-50952022-06-0116e01091Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixturesRui Guo0Fei zhou1Tengfei Nian2School of Civil Engineering and Architecture, Shaanxi University of Technology, Hanzhong 723000, China; Institute of Geotechnical and Highway Engineering，Shaanxi University of Technology, Hanzhong 723000, ChinaSchool of Civil Engineering and Architecture, Hubei University of Arts and Science, Xiangyang 441053, China; Corresponding author.School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaRutting deformation is one of the most prominent diseases in asphalt pavement’s early damage. In this paper, it analyzes the relation and their distribution law between Marshall stability and the physical and mechanical indices of asphalt mixtures based upon a correlation analysis and statistical principles, which is to find the reasonable range of rutting performance design parameters of asphalt pavement. The results showed that the asphalt mixture’s stability increased with the increase in bulk volume relative density and asphalt saturation, but decreased with the increase in the percent of air-voids and the voids in the mineral aggregate. The optimal fitting function of bulk volume relative density and asphalt saturation for AC-13 asphalt mixture follows a Weibull distribution, that of Marshall stability and air-voids follows a Gamma distribution, and that of percent voids in the mineral aggregate and flow value follows a Lognormal distribution. For a GAM-16 asphalt mixture, the optimal fitting function of bulk volume relative density and Marshall stability follows the Weibull distribution, the optimal fitting function of air-voids follows a Gamma distribution, that of flow value and percent voids in the mineral aggregate follows a Lognormal distribution, and asphalt saturation follows a Normal distribution. It is recommended that AC-13 asphalt mixtures’bulk volume relative density ranges from 2.27～2.38 g·cm3, the air-voids ranges from 3.4～6.0%, and GAM-16 asphalt mixtures’bulk volume relative density ranges from 2.29～2.37 g·cm3, the voids in mineral aggregate ranges from 17～18.17%, the asphalt saturation ranges from 75～82.13%, which can provide a reference for in-depth understanding of the deformation characteristics and construction of highways’ pavement in similar areas.http://www.sciencedirect.com/science/article/pii/S2214509522002236Road engineeringAsphalt mixturePhysical and mechanical indicesStatistical probability analysisDistribution function |
| spellingShingle | Rui Guo Fei zhou Tengfei Nian Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures Case Studies in Construction Materials Road engineering Asphalt mixture Physical and mechanical indices Statistical probability analysis Distribution function |
| title | Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures |
| title_full | Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures |
| title_fullStr | Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures |
| title_full_unstemmed | Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures |
| title_short | Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures |
| title_sort | indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures |
| topic | Road engineering Asphalt mixture Physical and mechanical indices Statistical probability analysis Distribution function |
| url | http://www.sciencedirect.com/science/article/pii/S2214509522002236 |
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