期刊文献+

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

Application of Artificial Neural Network for Analysis of Triangular Plate with Hole Considering Different Geometrical and Loading Parameters
在线阅读 下载PDF
导出
摘要 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. 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.
作者 Saket Rusia Krishna Kant Pathak Saket Rusia;Krishna Kant Pathak(Department of Civil and Environmental Engineering, National Institute of Technical Teachers’ Training and Research, Bhopal, India)
出处 《Open Journal of Civil Engineering》 2016年第1期31-41,共11页 土木工程期刊(英文)
关键词 Artificial Neural Networks Finite Element Analysis Triangular Plate ANSYS Artificial Neural Networks Finite Element Analysis Triangular Plate ANSYS

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部