Research Article

Remaining life approximation of hot mix asphalt pavement with the help of artificial neural networks

Number: Advanced Online Publication January 6, 2026
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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

  1. [1] The Republic of Türkiye Presidency, Presidency of Strategy and Budget, General Directorate of Budget. Citizen's Budget Guide. Ankara, Türkiye, 2024.
  2. [2] The Republic of Türkiye Presidency, Presidency of Strategy and Budget, General Directorate of Budget. Citizen's Budget Guide. Ankara, Türkiye, 2025.
  3. [3] Öcal A. Back calculation of Pavement Layer Properties Using Artificial Neural Network Based Gravitational Search Algorithm. MSc Thesis, Middle East Technical University, Ankara, Türkiye, 2014.
  4. [4] Kırbaş U, Karaşahin M, Ünal EN, Komut M, Demir B, Öcal K. “Development of pavement performance prediction model for bituminous hot mix asphalt on interurban road networks”. Pamukkale Univ Müh Bilim Derg, 23(6), 718-725, 2017.
  5. [5] Ferregut C, Abdallah I, Melchor O and Nazarian S. “Artificial Neural Network-Based Methodologies for Rational Assessment of Remaining Life of Existing Pavements”. Texas Department of Transportation, The University of Texas at El Paso El Paso, Texas, Research Report, 1711-1, 1999.
  6. [6] Saltan M, Tığdemir M, Karaşahin M. “Artificial Neural Network Application for Flexible Pavement Thickness Modeling”. Turkish J. Eng. Env. Sci., 26, 243-248, 2002.
  7. [7] Sollazzo G, Fwa TF, Bosurgi G. “An ANN Model to Correlate Roughness and Structural Performance in Asphalt Pavements”. Construction and Building Material, 134, 684-693, 2017.
  8. [8] Yao H, Han K, Liu Y, Wang D, You Z. “Research and comparison of pavement performance prediction based on neural networks and fusion transformer architecture”. Electronic Research Archive, 32(2): 1239-1267, 2024.

Details

Primary Language

English

Subjects

Transportation Engineering

Journal Section

Research Article

Authors

Muhammed Yasin Çodur This is me
Kuwait

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