Predicting the polymer modified ferrocement ultimate flexural strength using artificial neural network and adaptive network based fuzzy inference system

Abstract

Ferrocement is a thin composite made with a cement-based mortar matrix reinforced with closely spaced layers of small diameter wire mesh. The mesh made of square weld mesh and minimum reinforcement. Ferrocement can also be considered a high performance laminated cementitious composite. The paper presents comparative models were developed to predict the Ultimate flexural strength using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System. The data have taken from experimental research work of ferrocement slabs. It reinforced with welded square mesh with different volume fraction and incorporating modified mortar with Recron fibre and artificial Latex with varying percentage. This work is attempted to develop an optimized method for prediction of Ultimate flexural strength and to reduce the design time.