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Author:

Zhang, J. (Zhang, J..) | Zhang, Y. (Zhang, Y..) | Guo, W. (Guo, W..) | Cui, X. (Cui, X..)

Indexed by:

Scopus

Abstract:

In recent years, the cost of road maintenance has been increasing annually, and the importance of preventive maintenance for roads has been gaining more attention. Nevertheless, due to the varying maintenance times and long-term performance data of different roads, it is difficult to accurately assess the benefit of different preventive maintenance measures. In this study, the thin overlay, slurry seal, chip seal, and crack seal were considered as preventive maintenance measures, and the roughness, rutting, transverse cracking, longitudinal cracking, and alligator cracking as the long-term pavement performance. The data of maintenance measures and the long-term performance of pavement was selected from the long-term pavement performance (LTPP) database. The dynamic time warping (DTW) algorithm was used to evaluate the long-term performance of pavement that was maintained by different preventive maintenance measures and at different time. Results showed that the thin overlay has the most remarkable improvement effect on international roughness index (IRI) and rut depth (RD) of pavement, but the improvement effect of the other three maintenance measures on the long-term performance of pavement is almost the same and relatively small. The crack seals of longitudinal, transverse, and alligator cracks have little improvement on the long-term performance of the pavement. The DTW method showed excellent superiority in the evaluation of long-term pavement performance.  © 2023 ASCE.

Keyword:

Dynamic time warping Long-term effectiveness Asphalt pavement Pavement performance Preventive maintenance

Author Community:

  • [ 1 ] [Zhang J.]Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China
  • [ 2 ] [Zhang Y.]Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China
  • [ 3 ] [Guo W.]Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China
  • [ 4 ] [Cui X.]Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China

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Year: 2024

Page: 894-903

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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