A Neuro-Finite Element Analysis of Partial Differential Equations of Solid Mechanics

Sangeeta Yadav¹, K.K. Pathak² and Rajesh Shrivastava³

¹Barkatullah University, Bhopal - 462 003 (India).

²Advanced Material and Processes Reasearch Institue (CSIR) Bhopal - 462 026 (India).

³Government Science and Arts College, Benazir, Bhopal - 462 003 (India).

ABSTRACT:

Numerical analysis of Partial Differential Equations (PDE's) of the solid mechanics using Finite Element Method (FEM) is very popular. One issue which is haunting the finite element solution is the computer time. Finite Element Analysis (FEA) using fine mesh and large number of nodes consumes lot of solution time. To overcome this difficulty, a hybrid Neuro-FEM is proposed. FEM solutions considering coarse mesh is used for training neural networks which is further employed for finer predictions. The proposed methodology is successfully employed on a cantilever beam problem.

KEYWORDS: Stress; Displacement; finite element; neuro-finite element

Copy the following to cite this article: Yadav S, Pathak K. K, Shrivastava R. A Neuro-Finite Element Analysis of Partial Differential Equations of Solid Mechanics. Orient. J. Comp. Sci. and Technol;2(1)

Copy the following to cite this URL: Yadav S, Pathak K. K, Shrivastava R. A Neuro-Finite Element Analysis of Partial Differential Equations of Solid Mechanics. Orient. J. Comp. Sci. and Technol;2(1). Available from: http://www.computerscijournal.org/?p=2113

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