Title:
Simplified Punching Shear Design Method for Slab-Column Connections Using Fuzzy Learning
Author(s):
Kyoung-Kyu Choi, Mahmoud M. Reda Taha, and Alaa G. Sherif
Publication:
Structural Journal
Volume:
104
Issue:
4
Appears on pages(s):
438-447
Keywords:
fuzzy systems; punching shear; slab-column connections
DOI:
10.14359/18774
Date:
7/1/2007
Abstract:
An alternative approach for predicting the punching shear strength of concentrically loaded interior slab-column connections using fuzzy learning from examples is presented. A total of 178 experimental datasets obtained from concentric punching shear tests of reinforced concrete slab-column connections from the literature are used in training and testing of the fuzzy system. The fuzzy-based model is developed to address the interaction between various punching shear modeling parameters and the uncertainties between them, which might not be properly captured in classical modeling approaches. The model is trained using 82 datasets and verified using 96 datasets that are not used in the training process. The punching shear strength predicted by the fuzzy-based model is compared with those predicted by current punching shear strength models widely used in the design practice, such as ACI 318-05, Eurocode 2, CEB-FIP MC 90, and CSA A23.3-04 codes. It is noted that the fuzzy-based model yields a significant enhancement in the prediction of the punching shear strength of concentrically loaded interior slab-column connections while still respecting the fundamental failure mechanisms in punching shear of concrete.