Predicting Compression Strength of Reinforced Concrete Columns Confined by FRP Using Meta-Heuristic Methods
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
There are several methods to predict the compression strength of reinforced concrete columns confined by FRP, such as experimental methods, theory of elasticity and plasticity. Meanwhile, due to its good potential and high accuracy in predicting different problems, the soft computing techniques has attracted considerable attentions. Soft computing includes methods and programs to deal with complex computational problems. The objective of this study is to evaluate and compare the performance of four methods of Least Squares Support Vector Machine (LS-SVM), the Weight Least Squares Support Vector Machine (WLS-SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Particle Swarm Optimization - Adaptive Network based Fuzzy Inference System (PSO-ANFIS) for predicting the compression strength of reinforced concrete columns confined by FRP. A total of 95 laboratory data are selected for use in these methods. The Root Mean Square Error (RMSE) and the correlation coefficient of the results are used to validate and compare the performance of the methods. The results of the study show that the PSO-ANFIS method with the RMSE of 4.610 and the coefficient of determination of R2 = 0.9677 predicts compression strength of reinforced concrete columns confined by FRP with high accuracy and therefore, it can be a good alternative to time-consuming and costly laboratory methods.
Keywords:
Language:
English
Published:
Civil Engineering Infrastructures Journal, Volume:55 Issue: 1, Jun 2022
Pages:
1 to 17
https://www.magiran.com/p2441580
سامانه نویسندگان
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شدهاست. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)
-
Vulnerability Assessment of Blast-Resistant RC Control Room In Refinery Facilities by Eulerian-Lagrangian Coupling Method
MohammadReza Mohammadizadeh *, Mohammad Alikhan Mohammadi
Journal of Civil and Environmental Engineering University of Tabriz, -
Prediction of Shear Strength of Reinforced Concrete Deep Beams Using Neuro-Fuzzy Inference System and Meta-Heuristic Algorithms
Mohammad Mohammadizadeh *, , Mohsen Khatibinia
Civil Engineering Infrastructures Journal, Jun 2023 -
Prediction of shear strength of deep beams of the reinforced concrete using weighted least squares support vector machine method
MohammadReza Mohammadizadeh *,
Amirkabir Journal of Civil Engineering,