Technical Papers
Oct 23, 2020

Laboratory Method to Characterize Coarse Aggregate Segregation for HMA

Publication: Journal of Materials in Civil Engineering
Volume 33, Issue 1

Abstract

Aggregate gradation segregation in asphalt mixtures can result in early damage and reduced durability in asphalt pavement. However, presently, most methods of segregation detection can be performed only after the design of hot-mix asphalt (HMA) or asphalt paving is completed. To identify the segregation characteristics of different aggregate gradations in the mix design of HMA, a simple laboratory method was developed that includes the definition of evaluation indicator of segregation degree for coarse aggregate gradation and the corresponding testing apparatus. In addition, the model for evaluating coarse aggregate segregation was established using a multivariate nonlinear regression method. Based on the model for evaluating coarse aggregate segregation, a prediction method for HMA segregation was proposed. The results of an application case showed that the models for evaluating coarse aggregate segregation and prediction method for HMA segregation are feasible and reasonable. The method to characterize coarse aggregate segregation presented in this paper may help in optimizing the design of aggregate gradation in HMA.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by the Science and Technology Plan of Shandong Transportation Department (2019B48) and the Primary Research & Development Plan of Shandong Province in China (2016GSF116001), and the authors would like to acknowledge their financial support.

References

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Published In

Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 33Issue 1January 2021

History

Received: Apr 12, 2020
Accepted: Jun 30, 2020
Published online: Oct 23, 2020
Published in print: Jan 1, 2021
Discussion open until: Mar 23, 2021

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Authors

Affiliations

Weidong Cao [email protected]
Associate Professor, School of Qilu Transportation, Shandong Univ., Jinan 250061, PR China. Email: [email protected]
Shutang Liu [email protected]
Professor, School of Qilu Transportation, Shandong Univ., Jinan 250061, PR China (corresponding author). Email: [email protected]
Zhichao Xue [email protected]
Researcher, Shandong Hi-Speed Group Co. Ltd., Aoti West Rd., Yinfeng Fortune Plaza, Jinan 250101, PR China. Email: [email protected]
Luchuan Chen [email protected]
Senior Engineer, Shandong Hi-Speed Group Co. Ltd., Aoti West Rd., Yinfeng Fortune Plaza, Jinan 250101, PR China. Email: [email protected]
Zhidong Zhang [email protected]
Postgraduate, School of Qilu Transportation, Shandong Univ., Jinan 250061, PR China. Email: [email protected]

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