Prediction and Optimization of Pile Bearing Capacity Considering Effects of Time

Mohammadreza Khanmohammadi, Danial Jahed Armaghani () and Mohanad Muayad Sabri Sabri
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Mohammadreza Khanmohammadi: Department of Civil Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran
Danial Jahed Armaghani: School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
Mohanad Muayad Sabri Sabri: Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia

Mathematics, 2022, vol. 10, issue 19, 1-15

Abstract: Prediction of pile bearing capacity has been considered an unsolved problem for years. This study presents a practical solution for the preparation and maximization of pile bearing capacity, considering the effects of time after the end of pile driving. The prediction phase proposes an intelligent equation using a genetic programming (GP) model. Thus, pile geometry, soil properties, initial pile capacity, and time after the end of driving were considered predictors to predict pile bearing capacity. The developed GP equation provided an acceptable level of accuracy in estimating pile bearing capacity. In the optimization phase, the developed GP equation was used as input in two powerful optimization algorithms, namely, the artificial bee colony (ABC) and the grey wolf optimization (GWO), in order to obtain the highest bearing capacity of the pile, which corresponds to the optimum values for input parameters. Among these two algorithms, GWO obtained a higher value for pile capacity compared to the ABC algorithm. The introduced models and their modeling procedure in this study can be used to predict the ultimate capacity of piles in such projects.

Keywords: pile bearing capacity; genetic programming; artificial bee colony; gray wolf optimization; optimization purposes (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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