Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements
Source abstract
Abstract
Long-term preventive maintenance planning using finite annual budgets is vital for maintaining the service performance of airport runway composite pavements. Using the pavement condition index (PCI) to quantify composite pavement performance, this study investigated the PCI deterioration tendencies of middle runways, terminal runways, and taxiways and developed prediction models related to structural thickness and air traffic. Performance jump (PJ) and deterioration rate reduction (DRR) were used to measure maintenance benefits. Based on 112 composite pavement sections in the Long-term Pavement Performance Program, this study analyzed the influences of five typical preventive maintenance technologies on PJ, DRR, and PCI deterioration rates. The logarithmic regression relationship between PJ and PCI was obtained. For sections treated with crack sealing and crack filling, the DRR was nearly 0. For sections treated with fog seal, thin HMA overlay, and hot-mix recycled AC, the DRR was 0.2, 0.7, and 0.8, respectively. To solve the multi-objective maintenance problem, this study proposed a decision-making optimization method based on dynamic programming, and the solution algorithm was optimized, which was applied in a five-year maintenance plan. Considering different PCI deterioration tendencies of airport regions, as well as PJ, DRR, and costs of maintenance technologies, the preventive maintenance decision-making optimization method meets performance and financial requirements sufficiently.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Asphalt Pavement Performance Evaluation · Transport Systems and Technology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC (Civil Aviation Administration of China), Tongji University, Shanghai 201804, China
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China
Funding
National Natural Science Foundation of China
References (42)
Show source-provided references
1. Analysis of airfield composite pavement responses using full-scale accelerated pavement testing and finite element method10.1016/j.conbuildmat.2019.03.336 ↗
2. A new set of indexes and thresholds of preventive maintenance decision making for airport runway composite pavement
3. Cracking models for HMA overlay treatment of composite pavements in Louisiana10.1080/10298436.2020.1725513 ↗
4. Field evaluation and cost effectiveness of crack sealing in flexible and composite pavements10.1177/0361198118767417 ↗
5. Zheng, M., Chen, W., Ding, X., Zhang, W., and Yu, S. (2021). Comprehensive life cycle environmental assessment of preventive maintenance techniques for asphalt pavement. Sustainability, 13.10.3390/su13094887 ↗
6. Life-cycle evaluation of flexible pavement preventive maintenance10.1061/(ASCE)0733-947X(2005)131:10(744) ↗
7. Estimated lifetimes of road pavements in Sweden using time-to-event analysis10.1061/(ASCE)TE.1943-5436.0000712 ↗
8. Effects of routine maintenance on flexible pavement condition10.1061/(ASCE)0733-947X(1994)120:1(65) ↗
9. Cost-effectiveness analyses of maintenance treatments for low- and moderate-traffic asphalt pavements in Tennessee10.1061/(ASCE)TE.1943-5436.0000556 ↗
10. Hosseini, S., and Smadi, O. (2021). How prediction accuracy can affect the decision-making process in pavement management system. Infrastructures, 6.10.3390/infrastructures6020028 ↗
11. Rigid and composite pavement index-based performance models for network pavement management system in the state of Louisiana10.1080/10298436.2012.715643 ↗
12. Statistics and Artificial Intelligence-Based Pavement Performance and Remaining Service Life Prediction Models for Flexible and Composite Pavement Systems10.1177/0361198120915889 ↗
13. Pandya, H., Weideli, T., Elshaer, M., Mehta, Y., and Ali, A. (2019, January 20). Performance evaluation of composite pavements using Long-Term Pavement Performance (LTPP) database. Proceedings of the International Conference on Airfield and Highway Pavements, Chicago, IL, USA.10.1061/9780784482452.032 ↗
14. A statewide pavement management system10.1287/inte.12.6.5 ↗
15. Mixed-integer programming model for AASHTO flexible pavement design
16. Systematic decision-making process for composite pavement maintenance10.1061/(ASCE)CO.1943-7862.0001447 ↗
17. Optimal maintenance decisions for pavement management10.1061/(ASCE)0733-947X(1987)113:5(554) ↗
18. Multiobjective optimization for pavement maintenance programming10.1061/(ASCE)0733-947X(2000)126:5(367) ↗
19. Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions10.1016/j.autcon.2021.103840 ↗
20. Bao, S., Han, K., Zhang, L., Luo, X., and Chen, S. (2021). Pavement maintenance decision making based on optimization models. Appl. Sci., 11.10.3390/app11209706 ↗
21. Flexible pavement maintenance programming considering the minimisation of maintenance and rehabilitation costs and the maximisation of the residual value of pavements10.1080/10298436.2014.943207 ↗
22. A multi-year pavement maintenance program using a stochastic simulation-based genetic algorithm approach
23. Joint optimization of pavement maintenance and resurfacing planning10.1016/j.trb.2011.12.002 ↗
24. Roh, S., Lee, J., Urbino, I., Lin, W., and Cho, Y. (2023). Airport pavement maintenance decision-making system with condition cases optimization. Appl. Sci., 13.10.20944/preprints202311.0547.v1 ↗
25. Life-cycle optimization of pavement overlay systems10.1061/(ASCE)IS.1943-555X.0000042 ↗
26. Cost-effective selection and multi-period scheduling of pavement maintenance and rehabilitation strategies10.1080/03052150701686937 ↗
27. Pavement network maintenance optimization considering multidimensional condition data10.1061/(ASCE)IS.1943-555X.0000077 ↗
28. Mao, X., Yuan, C., and Gan, J. (2019). Icorporating dynamic traffic distribution into pavement maintenance optimization model. Sustainability, 11.10.3390/su11092488 ↗
29. Dynamic programming of 0/1 knapsack problem for network-level pavement asset management system10.1139/cjce-2019-0368 ↗
30. (1998). Standard Test Method for Airport Pavement Condition Index Surveys (Standard No. D5340-98).
31. Standard decay equation of pavement performance
32. (2009). Technical Specifications of Aerodrome Pavement Evaluation and Management (Standard No. MH/T5024-2009).
33. (2017). Specifications of Asphalt Pavement Design of Civil Airports (Standard No. MH/T5010-2017).
34. Lytton, R.L. (1987, January 2–6). Concepts of pavement performance prediction and modeling. Proceedings of the 2nd North American Conference on Managing Pavements, Public Roads, Toronto, ON, Canada.
35. Pavement maintenance effectiveness
36. Smith, R., Freeman, T., and Pendleton, O. (1993). Pavement Maintenance Effectiveness, Strategic Highway Research Program, National Research Council.
37. Effectiveness of highway pavement seal coating treatments10.1061/(ASCE)0733-947X(2004)130:1(14) ↗
38. Effectiveness of micro-surfacing treatments10.1061/(ASCE)0733-947X(2007)133:5(298) ↗
39. Life-cycle costs evaluations of effects of pavement maintenance
40. Measures of short-term effectiveness of highway pavement maintenance10.1061/(ASCE)0733-947X(2003)129:6(673) ↗
41. Hajek, J.J. (2011, January 9). Common airport pavement maintenance practices. Proceedings of the Transportation Research Board 90th Annual Meeting, Transportation Research Board of the National Academies, Washington, DC, USA.
42. Ploeger, D.C., Chapman, R.B., Peshkin, D.G., and Speidel, D.J. (2019, April 25). Preventive Maintenance at General Aviation Airports: Guidebook. Available online: https://onlinepubs.trb.org/online-pubs/acrp/acrp_rpt_138v2.pdf.