A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter

At present, research on the internal structures of asphalt mixtures has mostly focused on the statistical analysis of their mesostructural components such as aggregates, voids, and asphalt mortars, in addition to the verification of the mechanical behaviour of the mixture through simulations. Furthe...

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Main Authors: Liwan Shi, Duanyi Wang, Junfeng Wang, Zhonghai Jiang, Hehao Liang, Xiao Qin
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/3841291
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author Liwan Shi
Duanyi Wang
Junfeng Wang
Zhonghai Jiang
Hehao Liang
Xiao Qin
author_facet Liwan Shi
Duanyi Wang
Junfeng Wang
Zhonghai Jiang
Hehao Liang
Xiao Qin
author_sort Liwan Shi
collection DOAJ
description At present, research on the internal structures of asphalt mixtures has mostly focused on the statistical analysis of their mesostructural components such as aggregates, voids, and asphalt mortars, in addition to the verification of the mechanical behaviour of the mixture through simulations. Furthermore, the capacity of the research has not risen to a level where a design method to guide the design and optimisation of the asphalt mixture gradation has been formulated. After an in-depth analysis of the existing evaluation parameters and standards for the asphalt mixture skeleton, this study proposes a new method for precise designing a dense skeleton asphalt mixture (DSAM) based on meso parameter. The results indicate that the application of digital image processing (DIP) techniques to adjust the gradation increases the average coordination number (n¯c) and reduces the ratio of the quantity of coarse aggregate without contact point to the total quantity of coarse aggregate (C value). This can effectively improve the meso parameters of the mixture so that the quality of the main skeleton is significantly enhanced; the process also has higher precision and demands less test work. VCAmix(IMAGE) ≤ VCADRC and n¯c>1.6 while C < 20% can be used as qualitative and quantitative evaluation criterion for forming better main skeleton structure of coarse aggregate. The new method of designing a DSAM based on meso parameter is intuitive and convenient, which considerably reduces the blindness and tediousness in the design of the asphalt mixture gradation. The engineering example also proves that the asphalt mixture has an excellent pavement performance and verifies the feasibility of the proposed design method.
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issn 1687-8086
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spelling doaj-art-611a227e900347ca8e9b26cf9327ec7a2025-02-03T01:01:29ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/38412913841291A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso ParameterLiwan Shi0Duanyi Wang1Junfeng Wang2Zhonghai Jiang3Hehao Liang4Xiao Qin5Advanced and Sustainable Infrastructure Materials Group, School of Transportation and Civil Engineering and Architecture, Foshan University, Foshan 528225, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, ChinaCollege of Civil Engineering and Architecture, Hainan University, Haikou 570228, ChinaAdvanced and Sustainable Infrastructure Materials Group, School of Transportation and Civil Engineering and Architecture, Foshan University, Foshan 528225, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, ChinaAdvanced and Sustainable Infrastructure Materials Group, School of Transportation and Civil Engineering and Architecture, Foshan University, Foshan 528225, ChinaAt present, research on the internal structures of asphalt mixtures has mostly focused on the statistical analysis of their mesostructural components such as aggregates, voids, and asphalt mortars, in addition to the verification of the mechanical behaviour of the mixture through simulations. Furthermore, the capacity of the research has not risen to a level where a design method to guide the design and optimisation of the asphalt mixture gradation has been formulated. After an in-depth analysis of the existing evaluation parameters and standards for the asphalt mixture skeleton, this study proposes a new method for precise designing a dense skeleton asphalt mixture (DSAM) based on meso parameter. The results indicate that the application of digital image processing (DIP) techniques to adjust the gradation increases the average coordination number (n¯c) and reduces the ratio of the quantity of coarse aggregate without contact point to the total quantity of coarse aggregate (C value). This can effectively improve the meso parameters of the mixture so that the quality of the main skeleton is significantly enhanced; the process also has higher precision and demands less test work. VCAmix(IMAGE) ≤ VCADRC and n¯c>1.6 while C < 20% can be used as qualitative and quantitative evaluation criterion for forming better main skeleton structure of coarse aggregate. The new method of designing a DSAM based on meso parameter is intuitive and convenient, which considerably reduces the blindness and tediousness in the design of the asphalt mixture gradation. The engineering example also proves that the asphalt mixture has an excellent pavement performance and verifies the feasibility of the proposed design method.http://dx.doi.org/10.1155/2020/3841291
spellingShingle Liwan Shi
Duanyi Wang
Junfeng Wang
Zhonghai Jiang
Hehao Liang
Xiao Qin
A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
Advances in Civil Engineering
title A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
title_full A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
title_fullStr A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
title_full_unstemmed A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
title_short A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
title_sort new method for designing dense skeleton asphalt mixture based on meso parameter
url http://dx.doi.org/10.1155/2020/3841291
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