Axial compression capacity evaluation of concrete columns reinforced with glass fiber reinforced polymer bars

doi:10.19936/j.cnki.2096-8000.20241028.010

Abstract

Abstract: The influence of glass fiber reinforced polymer (GFRP) bars on the axial compression capacity of concrete columns is crucial. To thoroughly evaluate the performance of GFRP bars in strengthening concrete columns, prediction models for the load-bearing capacity were established using the Random Forest (RF), Artificial Neural Network (ANN), AdaBoost, and XGBoost algorithms. A database containing experimental data from 256 GFRP-reinforced concrete columns was created. The existing theoretical formulas for the axial compression capacity of GFRP-reinforced concrete columns were preliminarily evaluated, and the predictive accuracy of the RF, ANN, AdaBoost, and XGBoost models for the axial compression capacity of GFRP-reinforced concrete columns was further analyzed. The results showed that the determination coefficient of the existing theoretical formulas for the axial compression capacity of GFRP-reinforced concrete columns (around 0.70) was lower than that of the RF model (0.82), AdaBoost model (0.80), and XGBoost model (0.80). Moreover, the average absolute error and root mean square error were generally higher for the existing theoretical formulas compared to the RF, ANN, AdaBoost, and XGBoost models, indicating that the accuracy of the existing theoretical formulas was inferior to that of the RF, ANN, AdaBoost, and XGBoost models. In comparison to the ANN model, the RF, AdaBoost, and XGBoost models could accurately evaluate the actual axial compression capacity performance of GFRP-reinforced concrete columns, especially the RF model. This research provides a reference for the axial compression capacity design and analysis when designing GFRP bars for strengthening concrete structures.

Key words: glass fiber reinforced polymer bar, concrete column, axial compression capacity, composites, random forest

CLC Number:

TB332

RAN Li, WU Wen, ZHOU Lei. Axial compression capacity evaluation of concrete columns reinforced with glass fiber reinforced polymer bars[J]. COMPOSITES SCIENCE AND ENGINEERING, 2024, 0(10): 72-78.

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