About this document

Deep Learning Surrogate for FEA in AUVs by Umair Sarwar is a document available to read on EtoBox.

Deep learning models can be used to create accurate surrogates for computationally expensive finite element analysis (FEA) simulations of pressure vessels. The deep learning model is trained on a small set of simulated data and is able to predict test data with 92% accuracy. This deep learning surrogate model is more accurate than random forest or gradient boosting regression models, allowing faster evaluation of new designs without running full FEA simulations. The surrogate model speeds up the overall pre

Author

Umair Sarwar

Language

EN