[1] Zhu Tanyong, Ma Tao, Huang Xiaoming,. Calculation of effective temperature for pavement ruttingusing numerical simulation methods [J]. Journal of Southeast University (English Edition), 2016, 32 (3): 362-367. [doi:10.3969/j.issn.1003-7985.2016.03.017]

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Calculation of effective temperature for pavement ruttingusing numerical simulation methods()

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

Volumn:

32

Issue:

2016 3

Page:

362-367

Research Field:

Traffic and Transportation Engineering

Publishing date:

2016-09-20

Info

Title:

Calculation of effective temperature for pavement ruttingusing numerical simulation methods

Author(s):

Zhu Tanyong;  Ma Tao;  Huang Xiaoming

School of Transportation, Southeast University, Nanjing 210096, China

Keywords:

transient temperature field;  long-term rutting;  effective temperature;  numerical simulation;  finite element method

PACS:

U416.2

DOI:

10.3969/j.issn.1003-7985.2016.03.017

Abstract:

In order to predict the long-term rutting of asphalt pavement, the effective temperature for pavement rutting is calculated using the numerical simulation method. The transient temperature field of asphalt pavement was simulated based on actual meteorological data of Nanjing. 24-hour rutting development under a transient temperature field was calculated in each month. The rutting depth accumulated under the static temperature field was also estimated and the relationship between constant temperature parameters was analyzed. Then the effective temperature for pavement rutting was determined based on the rutting equivalence principle. The results show that the monthly effective temperature is above 40 ℃ in July and August, while in June and September it ranges from 30 to 40 ℃. Rutting development can be ignored when the monthly effective temperature is less than 30 ℃. The yearly effective temperature for rutting in Nanjing is around 38.5 ℃. The long-term rutting prediction model based on the effective temperature can reflect the influences of meteorological factors and traffic time distribution.

References:

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[10] Huang X M, Yang Y W, Li H, et al. Asphalt pavement short-term rutting analysis and prediction considering temperature and traffic loading conditions [J]. Journal of Southeast University(English Edition), 2009, 25(3): 385-390.

Memo

Memo:

Biographies: Zhu Tanyong(1989—), male, graduate; Huang Xiaoming(corresponding author), male, doctor, professor, huangxm@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.51378121), the Fok Ying Tung Education Foundation(No.141076), the Scientific Innovation Research of College Graduates in Jiangsu Province(No.KYLX_0164).
Citation: Zhu Tanyong, Ma Tao, Huang Xiaoming. Calculation of effective temperature for pavement rutting using numerical simulation methods[J].Journal of Southeast University(English Edition), 2016, 32(3):362-367.DOI:10.3969/j.issn.1003-7985.2016.03.017.

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