- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | LI Yue, LIU Wenjun, CAI Jing, ZHAO Fupeng. Development and Prediction of Ruts in Airport Asphalt Pavement Based on Full-Scale Test[J]. Journal of Southwest Jiaotong University, 2023, 58(6): 1378-1384. doi: 10.3969/j.issn.0258-2724.20210606
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Ruts can be one of the key reasons for early damage of asphalt pavement. Due to the channelized traffic characteristics of aircraft taxiing, the evenness and comfort of airport pavement are notably affected by rut damage. In this paper, a simulation analysis model of aircraft landing gears-foundation-asphalt pavement system is established. An equivalent cyclical loading process is proposed according to the loading characteristic of landing gears. The feasibility and reliability of the simulation model are verified by the rut test result of full-scale asphalt pavement conducted by National Airport Pavement Test Facility (NAPTF). Factors such as the loading interval and environment temperature are then analyzed. The results show that due to lateral shift effect of landing gear load, the total width of the ruts reaches 3 times the width of the landing gears, and the rut section curve has many turning points, which is obviously different from those of the previous single concave surface. The cyclical loading interval has a remarkable influence on rut development. The rebound deformation of the asphalt surface course becomes stable after a loading interval of 150 s, which can meet the requirement of analysis efficiency. Since the first 10% number of cyclical loading contributes more than 40.4% of overall rut deformation, an exponential rut deformation prediction formula is derived based on initial ruts. The goodness of fit result during the whole cyclical loading process is over 96.4%, and the efficiency of rut analysis is dramatically increased.
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