|تعداد مشاهده مقاله||111,658,374|
|تعداد دریافت فایل اصل مقاله||86,275,788|
Developing a Hybrid ANN-Jaya Procedure for Backcalculation of Flexible Pavements Moduli
|Civil Engineering Infrastructures Journal|
|دوره 55، شماره 1، شهریور 2022، صفحه 89-108 اصل مقاله (2.23 M)|
|نوع مقاله: Research Papers|
|شناسه دیجیتال (DOI): 10.22059/ceij.2021.310767.1710|
|Ali Reza Ghanizadeh* 1؛ Nasrin Heidarabadizadeh2؛ Vahid Khalifeh3|
|1Associate Professor, Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran.|
|2Research Assistant, Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran.|
|3Assistant Professor, Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran.|
|This research aim is to develop a procedure for backcalculation of flexible pavements moduli based on the hybridization of the Artificial Neural Network (ANN) and the Jaya optimization algorithm. The ANN was applied to predict the pavement deflection basin, and the Jaya was employed for moduli backcalculation. The comparison of hybrid ANN-Jaya procedure with some backcalculation software indicates the high ability of the developed method to perform backcalculation of flexible pavements moduli. The comparison of the computational speed and accuracy of hybrid ANN-Jaya with ANN-PSO and ANN-GA indicates the superior performance of ANN-Jaya compared to other methods.|
|Artificial Neural Network (ANN)؛ Backcalculation؛ Falling Weight Deflectometer (FWD)؛ Flexible Pavements؛ Jaya Optimization Algorithm|
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