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About A Deep Learning Approach To Estimate Stress Distribution: A Fast and Accurate Surrogate of Finite-Element Analysis
A deep learning approach was developed to directly estimate stress distributions in the aorta, bypassing finite-element analysis (FEA) calculations. The deep learning model takes FEA input and outputs aortic wall stress distributions with average errors of 0.492% for Von Mises stress and 0.891% for peak Von Mises stress. This study demonstrates the feasibility of using deep learning as a fast and accurate surrogate for FEA stress analysis.
Detailed Information
| Author: | ['Nitin'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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