[1] Liu Gang, Chen Leilei, Qian Zhendong, Zhou Xiayang, et al. Rutting influencing factors and prediction modelfor asphalt pavements based on the factor analysis method [J]. Journal of Southeast University (English Edition), 2021, 37 (4): 421-428. [doi:10.3969/j.issn.1003-7985.2021.04.012]

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Rutting influencing factors and prediction modelfor asphalt pavements based on the factor analysis method()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

37

Issue:

2021 4

Page:

421-428

Research Field:

Traffic and Transportation Engineering

Publishing date:

2021-12-20

Info

Title:

Rutting influencing factors and prediction modelfor asphalt pavements based on the factor analysis method

Author(s):

Liu Gang;  Chen Leilei;  Qian Zhendong;  Zhou Xiayang

Intelligent Transport System Research Center, Southeast University, Nanjing 211189, China

Keywords:

asphalt pavement;  rutting prediction;  influencing factors;  RIOHTrack full-scale track;  factor analysis method

PACS:

U418.6

DOI:

10.3969/j.issn.1003-7985.2021.04.012

Abstract:

To clarify the importance of various influencing factors on asphalt pavement rutting deformation and determine a screening method of model indicators, the data of the RIOHTrack full-scale track were examined using the factor analysis method(FAM). Taking the standard test pavement structure of RIOHTrack as an example, four rutting influencing factors from different aspects were determined through statistical analysis. Furthermore, the common influencing factors among the rutting influencing factors were studied based on FAM. Results show that the common factor can well characterize accumulative ESALs, center-point deflection, and temperature, besides humidity, which indicates that these three influencing factors can have an important impact on rutting. Moreover, an empirical rutting prediction model was established based on the selected influencing factors, which proved to exhibit high prediction accuracy. These analysis results demonstrate that the FAM is an effective screening method for rutting prediction model indicators, which provides a reference for the selection of independent model indicators in other rutting prediction model research when used in other areas and is of great significance for the prediction and control of rutting distress.

References:

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Memo

Memo:

Biographies: Liu Gang(1994—), male, Ph.D. candidate; Chen Leilei(corresponding author), male, doctor, associate professor, chenleilei@seu.edu.cn.
Foundation items: The National Key Research and Development Program of China(No. 2018YFB1600300, 2018YFB1600304, 2018YFB1600305), Postgraduate Research & Practice Innovation Program of Jiangsu Province(No. KYCX21_0133), the Scientific Research Foundation of Graduate School of Southeast University.
Citation: Liu Gang, Chen Leilei, Qian Zhendong, et al. Rutting influencing factors and prediction model for asphalt pavements based on the factor analysis method[J].Journal of Southeast University(English Edition), 2021, 37(4):421-428.DOI:10.3969/j.issn.1003-7985.2021.04.012.

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