Effects of Test Conditions on APA Rutting and Prediction Modeling for Asphalt Mixtures

Joint Authors

Zhang, Jiupeng
Wang, Hui
Tan, Haoqi
Qu, Tian

Source

Advances in Materials Science and Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-11-06

Country of Publication

Egypt

No. of Pages

11

Abstract EN

APA rutting tests were conducted for six kinds of asphalt mixtures under air-dry and immersing conditions.

The influences of test conditions, including load, temperature, air voids, and moisture, on APA rutting depth were analyzed by using grey correlation method, and the APA rutting depth prediction model was established.

Results show that the modified asphalt mixtures have bigger rutting depth ratios of air-dry to immersing conditions, indicating that the modified asphalt mixtures have better antirutting properties and water stability than the matrix asphalt mixtures.

The grey correlation degrees of temperature, load, air void, and immersing conditions on APA rutting depth decrease successively, which means that temperature is the most significant influencing factor.

The proposed indoor APA rutting prediction model has good prediction accuracy, and the correlation coefficient between the predicted and the measured rutting depths is 96.3%.

American Psychological Association (APA)

Wang, Hui& Tan, Haoqi& Qu, Tian& Zhang, Jiupeng. 2017. Effects of Test Conditions on APA Rutting and Prediction Modeling for Asphalt Mixtures. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1123658

Modern Language Association (MLA)

Wang, Hui…[et al.]. Effects of Test Conditions on APA Rutting and Prediction Modeling for Asphalt Mixtures. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1123658

American Medical Association (AMA)

Wang, Hui& Tan, Haoqi& Qu, Tian& Zhang, Jiupeng. Effects of Test Conditions on APA Rutting and Prediction Modeling for Asphalt Mixtures. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1123658

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1123658