A Neuro-finite Element Analysis of Partial Differential Equations of Solid Mechanics
نویسندگان
چکیده
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.
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