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Prediction of Ductile Damage in Composite Material Used in Type IV Hydrogen Tanks by Artificial Neural Network and Machine Learning with Finite Element Modeling Approach.

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Title: Prediction of Ductile Damage in Composite Material Used in Type IV Hydrogen Tanks by Artificial Neural Network and Machine Learning with Finite Element Modeling Approach.
Authors: Kadri, Kheireddin1 (AUTHOR), Kallel, Achraf2,3 (AUTHOR) achraf.kallel@irt-systemx.fr, Guerard, Guillaume4 (AUTHOR), Ben Abdallah, Abir1 (AUTHOR), Ballut, Sébastien1 (AUTHOR), Fitoussi, Joseph3 (AUTHOR), Shirinbayan, Mohammadali3 (AUTHOR)
Source: Energy Technology. Jan2025, Vol. 13 Issue 1, p1-16. 16p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 184015075
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Prediction of Ductile Damage in Composite Material Used in Type IV Hydrogen Tanks by Artificial Neural Network and Machine Learning with Finite Element Modeling Approach.
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  Data: <searchLink fieldCode="JN" term="%22Energy+Technology%22">Energy Technology</searchLink>. Jan2025, Vol. 13 Issue 1, p1-16. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=184015075
RecordInfo BibRecord:
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        Value: 10.1002/ente.202401045
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      – Code: eng
        Text: English
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      – TitleFull: Prediction of Ductile Damage in Composite Material Used in Type IV Hydrogen Tanks by Artificial Neural Network and Machine Learning with Finite Element Modeling Approach.
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              Text: Jan2025
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              Y: 2025
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