Critical Rut Depth for Pavement Maintenance Based on Vehicle Skidding and Hydroplaning Consideration-Reference-Cited by-同舟云学术

Critical Rut Depth for Pavement Maintenance Based on Vehicle Skidding and Hydroplaning Consideration

Published:2012-04 Issue:4 Volume:138 Page:423-429
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Fwa T. F.¹,Pasindu H. R.²,Ong G. P.³

Affiliation:

1. Professor, Dept. of Civil and Environmental Engineering, National Univ. of Singapore, 10 Kent Ridge Crescent, Singapore, Republic of Singapore 119260 (corresponding author).

2. Research Student, Dept. of Civil and Environmental Engineering, National Univ. of Singapore, 10 Kent Ridge Crescent, Singapore, Republic of Singapore 119260.

3. Lecturer, Dept. of Civil and Environmental Engineering, National Univ. of Singapore, 10 Kent Ridge Crescent, Singapore, Republic of Singapore 119260.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000336

Reference33 articles.

1. Barksdale R. D. (1972). “Laboratory evaluation of rutting in base course materials.” Proc. 3rd Int. Conf. on the Structural Design of Asphalt Pavements Vol. 1 Int. Society for Asphalt Pavements Lino Lakes MN 161–174.

Cited by 86 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating intrinsic factors in pavement skid resistance deterioration using an integrated tribology model;Tribology International;2024-11

2. A review of numerical and experimental studies on hydroplaning of vehicles in motion on road surfaces;Results in Engineering;2024-09

3. Investigating the impact of pavement condition and weather characteristics on road accidents (Review paper);International Journal of Crashworthiness;2024-05-10

4. Rutting measurement in asphalt pavements;Automation in Construction;2024-05

5. Estimating vehicle braking distance over wet and rutted pavement surface through back-propagation neural network;Results in Engineering;2024-03