Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case
In this modern era, the constant increase in computational and sensing power has lead to the development of multiple data-driven concepts. Amongst these, the ‘digital thread’ is an architecture that aims at optimising the knowledge of a system by merging prior knowledge of the product with informati...
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MDPI AG
2024-12-01
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Series: | Aerospace |
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Online Access: | https://www.mdpi.com/2226-4310/12/1/2 |
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author | Sébastien de Longueville Christophe Bouvet Emmanuel Bénard Joël Jézégou Yves Gourinat |
author_facet | Sébastien de Longueville Christophe Bouvet Emmanuel Bénard Joël Jézégou Yves Gourinat |
author_sort | Sébastien de Longueville |
collection | DOAJ |
description | In this modern era, the constant increase in computational and sensing power has lead to the development of multiple data-driven concepts. Amongst these, the ‘digital thread’ is an architecture that aims at optimising the knowledge of a system by merging prior knowledge of the product with information from multiple stages of its lifecycle in order to improve the performance of new products to be designed, thanks to the increased accuracy of this updated knowledge. Even though the use of these data-driven architectures is becoming increasingly widespread, most of the corresponding developments remain currently limited to the component level. In this respect, this article extends the application of the digital thread from the component level to the structural assembly level and enriches it with additional multi-physics considerations and non-linear failure constraints. To this end, it details the development of a digital thread dedicated to an aircraft vertical tail plane structure made of carbon fibre reinforced polymer, as well as the tools and models required to implement such an approach using Bayesian inference, multi-physics simulations, and empirical models. |
format | Article |
id | doaj-art-d4c7f77891e44eefb13a21f6e21b9c42 |
institution | Kabale University |
issn | 2226-4310 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Aerospace |
spelling | doaj-art-d4c7f77891e44eefb13a21f6e21b9c422025-01-24T13:15:23ZengMDPI AGAerospace2226-43102024-12-01121210.3390/aerospace12010002Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use CaseSébastien de Longueville0Christophe Bouvet1Emmanuel Bénard2Joël Jézégou3Yves Gourinat4Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse, 31400 Toulouse, FranceInstitut Clément Ader (UMR CNRS 5312)-ISAE-SUPAERO/INSA/IMT/Mines Albi/UPS, Université de Toulouse, 31400 Toulouse, FranceFédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse, 31400 Toulouse, FranceFédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse, 31400 Toulouse, FranceInstitut Clément Ader (UMR CNRS 5312)-ISAE-SUPAERO/INSA/IMT/Mines Albi/UPS, Université de Toulouse, 31400 Toulouse, FranceIn this modern era, the constant increase in computational and sensing power has lead to the development of multiple data-driven concepts. Amongst these, the ‘digital thread’ is an architecture that aims at optimising the knowledge of a system by merging prior knowledge of the product with information from multiple stages of its lifecycle in order to improve the performance of new products to be designed, thanks to the increased accuracy of this updated knowledge. Even though the use of these data-driven architectures is becoming increasingly widespread, most of the corresponding developments remain currently limited to the component level. In this respect, this article extends the application of the digital thread from the component level to the structural assembly level and enriches it with additional multi-physics considerations and non-linear failure constraints. To this end, it details the development of a digital thread dedicated to an aircraft vertical tail plane structure made of carbon fibre reinforced polymer, as well as the tools and models required to implement such an approach using Bayesian inference, multi-physics simulations, and empirical models.https://www.mdpi.com/2226-4310/12/1/2data-driven designdigital threaddigital twindata fusionBayesian inferencecomposite structure modelling |
spellingShingle | Sébastien de Longueville Christophe Bouvet Emmanuel Bénard Joël Jézégou Yves Gourinat Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case Aerospace data-driven design digital thread digital twin data fusion Bayesian inference composite structure modelling |
title | Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case |
title_full | Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case |
title_fullStr | Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case |
title_full_unstemmed | Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case |
title_short | Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case |
title_sort | digital thread based optimisation framework for aeronautical structures a vertical tail plane use case |
topic | data-driven design digital thread digital twin data fusion Bayesian inference composite structure modelling |
url | https://www.mdpi.com/2226-4310/12/1/2 |
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