Open Journal of Civil Engineering

Volume 6, Issue 1 (February 2016)

ISSN Print: 2164-3164   ISSN Online: 2164-3172

Google-based Impact Factor: 0.75  Citations  

Application of Artificial Neural Network for Analysis of Triangular Plate with Hole Considering Different Geometrical and Loading Parameters

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DOI: 10.4236/ojce.2016.61004    2,996 Downloads   4,501 Views  Citations

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.

Share and Cite:

Rusia, S. and Pathak, K. (2016) Application of Artificial Neural Network for Analysis of Triangular Plate with Hole Considering Different Geometrical and Loading Parameters. Open Journal of Civil Engineering, 6, 31-41. doi: 10.4236/ojce.2016.61004.

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