A New Set of Indexes and Thresholds of Preventive Maintenance Decision Making for Airport Runway Composite Pavement

Liu, Shifu; Ling, Jianming; Wu, Zhaoyang; Li, Penghui; Zhang, Jiake

doi:10.1061/jpeodx.0000342

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…Composite pavements have been widely adopted in airport runways constructed since the 1990s [1]. However, due to the modulus difference between PCC and HMA, composite pavements exhibit different distress features from both concrete pavements and asphalt pavements [2,3]. Thus, the timely and pertinent preventive maintenance of runway composite pavements is vital for improving the current performance or decelerating the performance deterioration rate so as to delay the demand for the next major repair or rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements

Ling,

Wang,

Liu

et al. 2024

Applied Sciences

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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.

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Section: Introductionmentioning

confidence: 99%

Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements

Ling,

Wang,

Liu

et al. 2024

Applied Sciences

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“…In this regard, Ansarilari and Golroo [23] developed a hybrid approach of Markov Chain and supervised multi-objective genetic algorithms at network-level, while Moayedfar and Sajjadifard [24] analyzed the prioritization process using the widely spread software PAVER®. Liu et al [25] highlighted the importance of using preventive maintenance for the management of the flight infrastructures, discussing a possible set of indexes and the corresponding thresholds to support the decision-making for a specific moment in project level. De Moura et al [26] illustrated a review on the airport pavement evaluation systems for maintenance strategies development, pointing out various considerations regarding the limitations and possible development of future research.…”

Section: Introductionmentioning

confidence: 99%

Exploring New Computational Strategies for Managing Maintenance Activities of Airport Pavement Systems

Ragusa

Costa

Graziano

2022

Int. J. Pavement Res. Technol.

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In this paper, the optimization of the maintenance management problem regarding airport pavements is addressed by developing a series of fast computational procedures whose rationales pursue both practical and economical objectives. Particularly, the study involves the design of five new heuristic algorithms replicating different management strategies that can be undertaken by the airport managers in a certain time horizon for reducing the pavement maintenance costs while considering the impact on the service level of the airport. Each algorithm works on the basis of a preliminary computational framework that has a twofold scope: (i) selecting the pavement portions to be maintained during the provided time horizon. (ii) using a K-means method based on three well-known performance indicators, which, namely, are Residual Life (RL), International Roughness Index (IRI) and Pavement Condition Index (PCI), to group the selected portions into homogenous clusters named work-zones. To evaluate the effectiveness and the efficiency of the proposed optimization algorithms in coping with the maintenance programming problem under investigation, an extended design of experiments based on international airport regulations has been arranged. The obtained numerical results revealed that no single strategy can be selected as the most performing in terms of cost and quality conditions of the pavements. To make robust the numerical results, a sensitivity analysis is conducted to evaluate the influence of the total cost of maintenance on runway length and number of sections. However, the results obtained in this study provide a series of managerial implications, further expanding the research contribution.

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Airport Pavement Distress Analysis

Noori,

Sarkar

2023

Iran J Sci Technol Trans Civ Eng

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A New Set of Indexes and Thresholds of Preventive Maintenance Decision Making for Airport Runway Composite Pavement

Cited by 5 publications

References 5 publications

Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements

Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements

Exploring New Computational Strategies for Managing Maintenance Activities of Airport Pavement Systems

Airport Pavement Distress Analysis

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