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Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2026 / Cilt: 32 Sayı: 4

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

Yapay sinir ağları yardımı ile sıcak karışım asfalt kaplamaların kalan ömrünün tahmini

Halis Bahadır Kasil, Muhammed Yasin Çodur

Pages
783–795
Publication Date
2026-01-06
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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.

Özet

Sıcak Karışım Asfalt kaplamalar çeşitli nedenlerden dolayı meydana gelen bozulmalar sonucunda bakım ve onarım gerektirebilmektedir. Mevcut kaplamanın kalan ömrünün bilinmemesi bakım onarım sürelerinin gecikmesine ve bozulmaların hızlanmasına sebep olmaktadır. Bu gibi sorunların önüne geçebilmek için yol kaplamalarının kalan ömürleri farklı yöntemlerle hesaplanabilmektedir. Kaplamaların kalan ömrünün hesaplanmasında tahribatsız muayene yöntemleri kullanılarak malzeme özellikleri belirlenip farklı tahmin modelleri oluşturulabilmektedir. Bu çalışmada esnek kaplamaların kalan ömrü Yapay Sinir Ağları yöntemi yardımıyla hesaplanmıştır. Yaklaşım yönteminde, tabaka sayısı, tabakaların elastisite modülleri, tabaka kalınlıkları ve yük tekrar sayısı model girdileri olarak kullanılmıştır. Esnek üstyapının kalan ömrü çıktı olarak tahmin edilmiştir. Tahmin edilen sonuçlar ile hesaplanan sonuçlar karşılaştırılmıştır. Model tarafından tahmin edilen kalan ömür ile saha verilerine dayalı olarak hesaplanan kalan ömrün birbirine oldukça yakın olduğu gözlemlenmiştir.

Keywords
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Cite This Article

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, Cilt: 32 Sayı: 4, 783–795. https://doi.org/10.65206/pajes.46262

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