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Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks
Abstract
Hot Mix Asphalt pavements may require maintenance and repair as a result of deterioration due to various reasons. The remaining life of the existing pavement is not known, delaying maintenance and repair times and accelerating deterioration. In order to avoid such problems, the remaining life of road pavements can be calculated with different methods. Different prediction models can be created by determining material properties using non-destructive testing methods in calculating the remaining life of pavements. In this study, the remaining life of flexible pavements was calculated with the help of Artificial Neural Networks method. In the approximation method, the number of layers, elasticity moduli of layers, layer thicknesses, number of load repetitions were used as model inputs. The remaining life of the flexible pavement is estimated as output. Estimated results and calculated results were compared. It was observed that the remaining life estimated by the model and the remaining life calculated based on field data were closely aligned.
Keywords
References
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Details
Primary Language
English
Subjects
Transportation Engineering
Journal Section
Research Article
Early Pub Date
January 6, 2026
Publication Date
January 6, 2026
Submission Date
March 12, 2025
Acceptance Date
November 26, 2025
Published in Issue
Year 2026 Number: Advanced Online Publication
APA
Kasil, H. B., & Çodur, M. Y. (2026). Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Advanced Online Publication. https://doi.org/10.65206/pajes.46262
AMA
1.Kasil HB, Çodur MY. Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026;(Advanced Online Publication). doi:10.65206/pajes.46262
Chicago
Kasil, Halis Bahadır, and Muhammed Yasin Çodur. 2026. “Remaining Life Approximation of Hot Mix Asphalt Pavement With the Help of Artificial Neural Networks”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, no. Advanced Online Publication. https://doi.org/10.65206/pajes.46262.
EndNote
Kasil HB, Çodur MY (January 1, 2026) Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Advanced Online Publication
IEEE
[1]H. B. Kasil and M. Y. Çodur, “Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, no. Advanced Online Publication, Jan. 2026, doi: 10.65206/pajes.46262.
ISNAD
Kasil, Halis Bahadır - Çodur, Muhammed Yasin. “Remaining Life Approximation of Hot Mix Asphalt Pavement With the Help of Artificial Neural Networks”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Advanced Online Publication (January 1, 2026). https://doi.org/10.65206/pajes.46262.
JAMA
1.Kasil HB, Çodur MY. Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026. doi:10.65206/pajes.46262.
MLA
Kasil, Halis Bahadır, and Muhammed Yasin Çodur. “Remaining Life Approximation of Hot Mix Asphalt Pavement With the Help of Artificial Neural Networks”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, no. Advanced Online Publication, Jan. 2026, doi:10.65206/pajes.46262.
Vancouver
1.Halis Bahadır Kasil, Muhammed Yasin Çodur. Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026 Jan. 1;(Advanced Online Publication). doi:10.65206/pajes.46262