Prediction of shear capacity of RC beams strengthened with FRCM composite using hybrid ANN-PSO model

Prediction of shear capacity of RC beams strengthened with FRCM composite using hybrid ANN-PSO model

The aim of this study is to develop a hybrid Artificial Neural Network- Particle Swarm Optimization (ANN-PSO) model for improving shear strength prediction of reinforced concrete (RC) beams strengthened with fiber reinforced cementitious matrix (FRCM). A set of 89 experimental test results of streng...

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Bibliographic Details
Main Authors: Trong-Ha Nguyen, Ngoc-Long Tran, Van-Tien Phan, Duy-Duan Nguyen
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Case Studies in Construction Materials
Subjects:
Artificial Neural Network (ANN)
Particle Swarm Optimization (PSO)
Reinforced concrete beam
Fiber reinforced cementitious matrix (FRCM)
Graphical user interface
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523003637

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http://www.sciencedirect.com/science/article/pii/S2214509523003637

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