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Application of Artificial Neural Network for Analysis of Triangular Plate with Hole Considering Different Geometrical and Loading Parameters
Department of Civil and Environmental Engineering, National Institute of Technical Teachers’ Training and Research, Bhopal, India
Department of Civil and Environmental Engineering, National Institute of Technical Teachers’ Training and Research, Bhopal, India
- 1 Department of Civil and Environmental Engineering, National Institute of Technical Teachers’ Training and Research, Bhopal, India
- 2 Department of Civil and Environmental Engineering, National Institute of Technical Teachers’ Training and Research, Bhopal, India
Open Journal of Civil Engineering·Volume 06 (2016)·Pages 31–41·Published 25 February 2016·DOI10.4236/ojce.2016.61004
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Abstract
In this study, Artificial Neural Network has been employed for analysis of triangular plate with different geometrical and loading parameters. Plates, having different sizes of concentric holes are analyzed. Finite element analysis for 81 cases is carried out using ANSYS Workbench 15.0 software. Using these data of FEM analysis an Artificial Neural Network has been trained. The successfully trained network is further used for analysis of four new cases which are also validated by using ANSYS Workbench 15.0 software.
KeywordsArtificial Neural NetworksFinite Element AnalysisTriangular PlateANSYS
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