Application of Artificial Neural Network for Design of Two Way Slab

Design of reinforced concrete slab subjected to load requires understanding of design philosophy and detailed knowledge of reinforced concrete structure. The support conditions, loading pattern, span dimensions in both the directions, grade of concrete etc are the governing issues for deciding thickness and reinforcement in both directions. Various charts, tables are available for references in IS code456, for designing of slabs. Use of such charts and tables are tedious and interactive approach is required for economical designing. Artificial neural network is one of the tool to get proper processing of data and obtaining required results by effective training of network. In present paper, several data is prepared and developed using spreadsheet for various end conditions and spans. Total 51 cases are studied in each 9 end conditions and tabulated for training and 12 cases are tested for expected output of thickness and amount of steel. Results are comparable with analytical one with least % of error.