A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter
Joint Authors
Shi, Liwan
Wang, Duanyi
Wang, Junfeng
Jiang, Zhonghai
Liang, Hehao
Qin, Xiao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shi, Liwan& Wang, Duanyi& Wang, Junfeng& Jiang, Zhonghai& Liang, Hehao& Qin, Xiao. 2020. A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1121460
Modern Language Association (MLA)
Shi, Liwan…[et al.]. A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter. Advances in Civil Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1121460
American Medical Association (AMA)
Shi, Liwan& Wang, Duanyi& Wang, Junfeng& Jiang, Zhonghai& Liang, Hehao& Qin, Xiao. A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1121460
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121460