Novel informational bat-ANN model for predicting punching shear of RC flat slabs without shear reinforcement
Author:
Publisher
Elsevier BV
Subject
Civil and Structural Engineering
Reference58 articles.
1. Punching of reinforced concrete slab without shear reinforcement: standard models and new proposal;Pani;Front Struct Civil Eng,2020
2. An adaptive neuro-fuzzy inference model to predict punching shear strength of flat concrete slabs;Mashrei;Appl Sci,2019
3. Punching shear behavior of shear reinforced slab-column connection with varying flexural reinforcement;Jang;Int J Concr Struct Mater,2019
4. A punching shear mechanical model for reinforced concrete flat slabs with and without shear reinforcement;Marí;Eng Struct,2018
5. Theoretical prediction of the punching shear strength of concrete flat slabs under in-plane tensile forces;Fernández;Eng Struct,2021
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