Yıl: 2002 Cilt: 26 Sayı: 3 Sayfa Aralığı: 243 - 248 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Artificial neural network application for flexible pavement thickness modeling

Öz:
Flexible pavements are affected by moving vehicles, climate and other environmental factors. As a result of these factors, the pavement starts to deteriorate. In order to prevent further deterioration, a maintenance program should be carried out at right time and right places. For the determination of the structural carrying capacity of the pavement, non-destructive testing equipments are used. These are mainly Benkelman Beam, dynaflect, road rater and falling weight deflectometer (FWD). In such a process, the most important thing is to analyze the collected data. A backcalculation procedure is carried out for back-calculating the elastic modulus for each layer that has an effect on the pavement life. Generally, linear elastic and finite element based programs are used for backcalculation, but they are time consuming. An artificial neural network (ANN) approach is used for the elimination of this drawback during the course of this study. Results indicate that the ANN can be used for backcalculation of the thickness of layers with great improvement and accuracy.
Anahtar Kelime:

Konular: Çevre Mühendisliği
Belge Türü: Makale Makale Türü: Diğer Erişim Türü: Erişime Açık
  • Dimitrova, M., “A Neural Compound Neural Network for User Identi_cation in Adaptive Human Computer Interfaces", J. Complex Control Systems, 1, 1996.
  • Hanselman, D., and Littlefield, B., “Mastering MATLAB", Prentice Hall, Upper Saddle River, NJ, 1996.
  • Hebb, D., “The Organisation of Behaviour", Willey, New York, USA, 1949.
  • Hopfield, J.J., “Neural Networks and Physical Systems with Emergent Collective Computational Abilities", Proc. Natl. Acad. Sci., 79, 2554-2558, 1982.
  • Huang, Y.H., “Pavement Analysis and Design", Prentice-Hall, Inc., Englewood Cliffs, New Jersey, USA, 1993.
  • McCulloch, W.S., and Pitts, W.A., “A Logical Calculus of The Ideas Immanent in Nervous Activity", Bull. Math. Biophysics, 5, 115-133, 1943.
  • Saltan, M., “Analytical Evaluation of Flexible Pavements", PhD Thesis, 202, Isparta, Turkey, 1999.
  • Shaat, A.A., and Kamal, M.A., “The Effective Use of Deflectograph Testing in Quantifying Pavement Strength and Seasonal Variations", PTRC Summer Annual Meeting, USA, 1991.
  • Sönmez, İ., and Şen Z., “Artificial Neural Network Approach for Natural Atmospheric Event Dynamics and Application in Meteorology", Proc. of 2nd Int. Symp. on Intelligent Manufacturing Systems, 325- 331, Sakarya, 1998.
  • Stolle, D.F.E., “Modelling of Dynamic Response of Pavements To Impact Loading", Computers and Geotechnics, 11(1), 83-94, 1991.
  • Stolle, D.F.E., and Jung, F. W., “Estimate of Average Subgrade Moduli Using The FWD", Canadian Geotechnical Conference, 5111-5118, Canada, 1991.
APA SALTAN M, TIĞDEMİR M, Karasahin M (2002). Artificial neural network application for flexible pavement thickness modeling. , 243 - 248.
Chicago SALTAN Mehmet,TIĞDEMİR Mesut,Karasahin Mustafa Artificial neural network application for flexible pavement thickness modeling. (2002): 243 - 248.
MLA SALTAN Mehmet,TIĞDEMİR Mesut,Karasahin Mustafa Artificial neural network application for flexible pavement thickness modeling. , 2002, ss.243 - 248.
AMA SALTAN M,TIĞDEMİR M,Karasahin M Artificial neural network application for flexible pavement thickness modeling. . 2002; 243 - 248.
Vancouver SALTAN M,TIĞDEMİR M,Karasahin M Artificial neural network application for flexible pavement thickness modeling. . 2002; 243 - 248.
IEEE SALTAN M,TIĞDEMİR M,Karasahin M "Artificial neural network application for flexible pavement thickness modeling." , ss.243 - 248, 2002.
ISNAD SALTAN, Mehmet vd. "Artificial neural network application for flexible pavement thickness modeling". (2002), 243-248.
APA SALTAN M, TIĞDEMİR M, Karasahin M (2002). Artificial neural network application for flexible pavement thickness modeling. Turkish Journal of Engineering and Environmental Sciences, 26(3), 243 - 248.
Chicago SALTAN Mehmet,TIĞDEMİR Mesut,Karasahin Mustafa Artificial neural network application for flexible pavement thickness modeling. Turkish Journal of Engineering and Environmental Sciences 26, no.3 (2002): 243 - 248.
MLA SALTAN Mehmet,TIĞDEMİR Mesut,Karasahin Mustafa Artificial neural network application for flexible pavement thickness modeling. Turkish Journal of Engineering and Environmental Sciences, vol.26, no.3, 2002, ss.243 - 248.
AMA SALTAN M,TIĞDEMİR M,Karasahin M Artificial neural network application for flexible pavement thickness modeling. Turkish Journal of Engineering and Environmental Sciences. 2002; 26(3): 243 - 248.
Vancouver SALTAN M,TIĞDEMİR M,Karasahin M Artificial neural network application for flexible pavement thickness modeling. Turkish Journal of Engineering and Environmental Sciences. 2002; 26(3): 243 - 248.
IEEE SALTAN M,TIĞDEMİR M,Karasahin M "Artificial neural network application for flexible pavement thickness modeling." Turkish Journal of Engineering and Environmental Sciences, 26, ss.243 - 248, 2002.
ISNAD SALTAN, Mehmet vd. "Artificial neural network application for flexible pavement thickness modeling". Turkish Journal of Engineering and Environmental Sciences 26/3 (2002), 243-248.