Application of Artificial Neural Network for Design of Two Way Slab

Main Article Content

P.D.Pachpor
Anushka Kumar
A.K.Sharma

Abstract

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.

Article Details

How to Cite
P.D.Pachpor, Kumar, A. ., & A.K.Sharma. (2020). Application of Artificial Neural Network for Design of Two Way Slab. Helix, 10(01), 209-215. Retrieved from https://helixscientific.pub/index.php/home/article/view/85
Section
Articles