Prediction of punching shear capacity of RC flat slabs using artificial neural network

Punching shear of flat slabs is a local, brittle failure that may occur before the more favourable ductile flexural failure. This study develops an artificial neural network (ANN) modelling for the prediction of punching shear strength of flat slabs using 281 test data available in the literature. T...

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Main Authors: Safiee, Nor Azizi, Ashour, Ashraf
Format: Article
Published: Springer Cham 2017
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author Safiee, Nor Azizi
Ashour, Ashraf
author_facet Safiee, Nor Azizi
Ashour, Ashraf
author_sort Safiee, Nor Azizi
collection UPM
description Punching shear of flat slabs is a local, brittle failure that may occur before the more favourable ductile flexural failure. This study develops an artificial neural network (ANN) modelling for the prediction of punching shear strength of flat slabs using 281 test data available in the literature. The paper also evaluates the current design codes for the prediction of punching shear capacity of reinforced concrete flat slabs using the test results reported in the literature. Furthermore, a parametric study was conducted using the trained ANN to establish the trend of the main influencing variables on the punching shear capacity of flat slabs. The results were, then, employed to develop a simplified equation for the prediction of the characteristic/design punching shear strength of flat slabs based on the design assisted by testing approach proposed in Annex D of EN 1990.
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spelling upm.eprints-628002022-12-01T06:35:47Z http://psasir.upm.edu.my/id/eprint/62800/ Prediction of punching shear capacity of RC flat slabs using artificial neural network Safiee, Nor Azizi Ashour, Ashraf Punching shear of flat slabs is a local, brittle failure that may occur before the more favourable ductile flexural failure. This study develops an artificial neural network (ANN) modelling for the prediction of punching shear strength of flat slabs using 281 test data available in the literature. The paper also evaluates the current design codes for the prediction of punching shear capacity of reinforced concrete flat slabs using the test results reported in the literature. Furthermore, a parametric study was conducted using the trained ANN to establish the trend of the main influencing variables on the punching shear capacity of flat slabs. The results were, then, employed to develop a simplified equation for the prediction of the characteristic/design punching shear strength of flat slabs based on the design assisted by testing approach proposed in Annex D of EN 1990. Springer Cham 2017-01 Article PeerReviewed Safiee, Nor Azizi and Ashour, Ashraf (2017) Prediction of punching shear capacity of RC flat slabs using artificial neural network. Asian Journal of Civil Engineering, 18 (2). 285 - 309. ISSN 1563-0854; ESSN: 2522-011X https://www.researchgate.net/publication/316634574_Prediction_of_punching_shear_capacity_of_RC_flat_slabs_using_artificial_neural_network
spellingShingle Safiee, Nor Azizi
Ashour, Ashraf
Prediction of punching shear capacity of RC flat slabs using artificial neural network
title Prediction of punching shear capacity of RC flat slabs using artificial neural network
title_full Prediction of punching shear capacity of RC flat slabs using artificial neural network
title_fullStr Prediction of punching shear capacity of RC flat slabs using artificial neural network
title_full_unstemmed Prediction of punching shear capacity of RC flat slabs using artificial neural network
title_short Prediction of punching shear capacity of RC flat slabs using artificial neural network
title_sort prediction of punching shear capacity of rc flat slabs using artificial neural network
work_keys_str_mv AT safieenorazizi predictionofpunchingshearcapacityofrcflatslabsusingartificialneuralnetwork
AT ashourashraf predictionofpunchingshearcapacityofrcflatslabsusingartificialneuralnetwork