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 detailedknowledge of reinforced concrete structure. The support conditions, loading pattern, span dimensions in both thedirections, grade of concrete etc are the governing issues for deciding thickness and reinforcement in bothdirections. Various charts, tables are available for references in IS code456, for designing of slabs. Use of suchcharts and tables are tedious and interactive approach is required for economical designing. Artificial neuralnetwork is one of the tool to get proper processing of data and obtaining required results by effective training ofnetwork. In present paper, several data is prepared and developed using spreadsheet for various end conditionsand spans. Total 51 cases are studied in each 9 end conditions and tabulated for training and 12 cases are testedfor expected output of thickness and amount of steel. Results are comparable with analytical one with least % oferror.