Soft computing techniques have been widely used during the last two decades for nonlinear system modeling, specifically as predictive tools. In this study, the performances of two well-known soft computing predictive techniques, artificial neural network (ANN) and genetic programming (GP), are evaluated based on several criteria, including over-fitting potential. A case study in punching shear ...

Abstract This study describes a set of recommendations to improve the precision shear and punching capacity predictions for one-way slabs under concentrated loads, regardless governing failure mechanism, using ABNT NBR 6118:2014 code provisions. For this purpose, database 143 test results was developed, including with different support conditions loading layouts that failed by mechanisms: shear...

This article describes a numerical study for the evaluation of punching shear behavior non-adherent prestressed flat slabs without reinforcement. Nonlinear three-dimensional models were used, along with finite element method (FEA) through ATENA software in order to validate constitutive adopted concrete and steel. The results compared experimental results. revealed good agreement among load cap...