ABSTRACT This research presents Artificial Neural Network Model for the prediction of the Modulus of Elasticity of Concrete. Egbulonu (2011) equation derived from Scheffe’s (4, 2) simplex equation for predicting the Modulus of Elasticity (MOE) was used to generate 800 values. These data represent different values of Modulus of Elasticity (MOE) out of which, 571 values were selected randomly by the artificial neural network. From the selected values, 400 were used for training the network,...
ABSTRACT The purpose of this work is to use the energy approach in the form of direct variational principle (Rayleigh-Ritz method) for buckling analysis of thin rectangular plates with various boundary conditions using Taylor series shape functions. To do this, thin rectangular flat plate of various boundary conditions with three dimensions Ly, Lx and t was analyzed in this research. Ly and Lx are secondary and primary in-plane dimensions respectively and t is the plate thickness. The bou...