Shear Resistance Prediction of Post-fire Reinforced Concrete Beams Using Artificial Neural Network

In this paper, a prediction method based on artificial neural network was developed to rapidly determine the residual shear resistance of reinforced concrete (RC) beams after fire. Firstly, the temperature distribution along the beam section was determined through finite element analysis using softw...

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Bibliographic Details
Published in:International journal of concrete structures and materials 2019, 13(6), 50, pp.755-767
Main Authors: Cai, Bin, Xu, Long-Fei, Fu, Feng
Format: Article
Language:English
Subjects:
Analysis
Artificial neural networks
BP neural networks
Building Materials
Computer simulation
Concrete properties
Engineering
Finite element method
fire
Fire exposure
Fire resistance
Mathematical models
Neural networks
Parameters
Predictions
Reinforced concrete
sectional analysis
shear resistance
Shear strength
Solid Mechanics
Structural Materials
Temperature distribution
토목공학
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Summary:In this paper, a prediction method based on artificial neural network was developed to rapidly determine the residual shear resistance of reinforced concrete (RC) beams after fire. Firstly, the temperature distribution along the beam section was determined through finite element analysis using software ABAQUS. A residual shear strength calculation model was developed and validated using the test data. Using this model, 384 data entries were derived for training and testing. The input layer of neural network involved parameters of beam height, beam width, fire exposure time, cross-sectional area of stirrup, stirrup spacing, concrete strength, and concrete cover thickness. The output was the shear resistance of RC beams. It was found that use of BP neural network could precisely predict the post-fire shear resistance of RC beams. The predicted data were highly consistent with the target data. Thus, this is a novel method for computing post-fire shear resistance of RC beams. Using this new method, further investigation was also made on the effects of different parameters on the shear resistance of the beams.
ISSN:1976-0485
2234-1315
DOI:10.1186/s40069-019-0358-8