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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| Format: | Article |
| Language: | English |
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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 |
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| Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/7186 |
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| _version_ | 1832593714193629184 |
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| author | Mihaela MARIN Florin-Bogdan MARIN |
| author_facet | Mihaela MARIN Florin-Bogdan MARIN |
| author_sort | Mihaela MARIN |
| collection | DOAJ |
| description | 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 computational resources outputting the result very fast. The purpose of this study is to propose using deep learning model using a relative low amount of training fata to approximate deformation in honeycomb structures subjected to a blast load. This study employed variation of hexagonal honeycomb dimensions to determine the deformation using deep learning model. |
| format | Article |
| id | doaj-art-4b8c1cd6fa71477cba26bdf3a1a119e4 |
| institution | Kabale University |
| issn | 2668-4748 2668-4756 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Galati University Press |
| record_format | Article |
| series | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
| spelling | doaj-art-4b8c1cd6fa71477cba26bdf3a1a119e42025-01-20T10:01:32ZengGalati University PressThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science2668-47482668-47562024-09-01473101310.35219/mms.2024.3.027186Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep LearningMihaela MARIN0Florin-Bogdan MARIN1“Dunarea de Jos” University of Galati, RomaniaInterdisciplinary Research Centre in the Field of Eco-Nano Technology and Advance Materials CC-ITI, Faculty of Engineering, “Dunarea de Jos” University of Galati, RomaniaHoneycomb 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 computational resources outputting the result very fast. The purpose of this study is to propose using deep learning model using a relative low amount of training fata to approximate deformation in honeycomb structures subjected to a blast load. This study employed variation of hexagonal honeycomb dimensions to determine the deformation using deep learning model.https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/7186honeycombdeep learningblast simulationexplosion |
| spellingShingle | Mihaela MARIN Florin-Bogdan MARIN Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science honeycomb deep learning blast simulation explosion |
| title | Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning |
| title_full | Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning |
| title_fullStr | Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning |
| title_full_unstemmed | Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning |
| title_short | Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning |
| title_sort | prediction of deformation of hexagonal honeycomb blast structure under explosive loading using deep learning |
| topic | honeycomb deep learning blast simulation explosion |
| url | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/7186 |
| work_keys_str_mv | AT mihaelamarin predictionofdeformationofhexagonalhoneycombblaststructureunderexplosiveloadingusingdeeplearning AT florinbogdanmarin predictionofdeformationofhexagonalhoneycombblaststructureunderexplosiveloadingusingdeeplearning |