Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning
Honeycomb composites are widely used in blast structure under explosive loading because of mechanical properties. The simulation of high-pressure explosion is time consuming in order to simulate an important number of scenarios. New deep learning neural models might approximate results with low comp...
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Main Authors: | Mihaela MARIN, Florin-Bogdan MARIN |
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Format: | Article |
Language: | English |
Published: |
Galati University Press
2024-09-01
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Series: | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
Subjects: | |
Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/7186 |
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