Performance Evaluation of Composite Pavements Using Long-Term Pavement Performance (LTPP) Database

Pandya, Himanshu; Weideli, T.; Elshaer, Mohamed; Mehta, Yusuf

doi:10.1061/9780784482452.032

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…Kaya et al [12] developed performance prediction models for composite pavements in Iowa based on statistics and artificial intelligence (AI) techniques, and the prediction accuracy was validated at the project and network level. Pandya et al [13] predict the performance of eight long-term pavement performance (LTPP) composite pavement sections using layer thickness, material properties, traffic volumes, climatic data, and national calibration prediction models. Nur et al [3] developed transverse cracking and longitudinal cracking performance prediction models for overlay treatment of composite pavements in Louisiana, considering the influence factors that included equivalent single axle load (ESAL), thickness of composite pavement structural layers, temperature indexes, etc.…”

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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Test and Evaluation for Performance of Composite Pavement Structure

Yang

Wang

Cao

et al. 2022

Lecture Notes in Civil Engineering

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Perpetual pavement has become an important research field of highway development in China. Reasonable selection of pavement structure and ensuring the durability of the structure are one of the necessary measures to build perpetual pavements. The inverted asphalt pavement structure can not only provide high strength and good bearing capacity of semi-rigid base, but also make use of the graded crushed stones for restraining the reflection cracks of semi-rigid base. This paper presented a study on three pavement structures are, namely, a semi-rigid asphalt pavement and two inverted asphalt pavements. The performances of the three pavement structures after one million loading repetition are obtained. Taking rutting depth, deflection and dynamic response as evaluation indexes, the feasibility of inverted asphalt pavement structure as perpetual pavement structure is evaluated. It is found that the composite asphalt pavement structure with permeable asphalt mixture of large particle size as base and cement stabilized macadam as subbase has the best performance as perpetual pavement.

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Machine learning modeling of pavement performance and IRI prediction in flexible pavement

Alnaqbi,

Zeiada,

Al-Khateeb

2024

Innov. Infrastruct. Solut.

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Performance Evaluation of Composite Pavements Using Long-Term Pavement Performance (LTPP) Database

Cited by 5 publications

References 4 publications

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

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

Test and Evaluation for Performance of Composite Pavement Structure

Machine learning modeling of pavement performance and IRI prediction in flexible pavement

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