Bröcker, Marius und Siggel, Martin und Reitenbach, Stanislaus (2024) Integration of large data based on HDF5 in a collaborative and multidisciplinary design environment, Part A: Methodology and Implementation. In: AIAA SciTech 2024 Forum. AIAA Scitech 2024 Forum, 2024-01-08 - 2024-01-12, Orlando, USA. doi: 10.2514/6.2024-0482. ISBN 978-162410711-5.
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Offizielle URL: https://arc.aiaa.org/doi/10.2514/6.2024-0482
Kurzfassung
Collaborative processes are of increasing importance in many engineering disciplines, particularly in design and simulation. However, developing an integrative, consistent software architecture for collaborative applications remains a significant challenge in industry, research, and education teams. As digitalization progresses, the efficient processing of ever larger and more complex datasets becomes increasingly important. While various dedicated software platforms support the exchange and traceability of data as well as the interoperability of tools and workflows, the efficient integration of large amounts of data into such architectures is still a significant issue. This paper presents an innovative approach to integrate large datasets utilizing the HDF5 data format into a collaborative software framework for aircraft engine design and simulation. The application of the methodology is demonstrated by a practical example from the field of structural mechanics in part B.
elib-URL des Eintrags: | https://elib.dlr.de/202623/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Integration of large data based on HDF5 in a collaborative and multidisciplinary design environment, Part A: Methodology and Implementation | ||||||||||||||||
Autoren: |
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Datum: | 4 Januar 2024 | ||||||||||||||||
Erschienen in: | AIAA SciTech 2024 Forum | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.2514/6.2024-0482 | ||||||||||||||||
ISBN: | 978-162410711-5 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Aircraft Engine Design, HDF5, Data Integration, Large Data, Data Structures, Computational Structural Mechanics | ||||||||||||||||
Veranstaltungstitel: | AIAA Scitech 2024 Forum | ||||||||||||||||
Veranstaltungsort: | Orlando, USA | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 8 Januar 2024 | ||||||||||||||||
Veranstaltungsende: | 12 Januar 2024 | ||||||||||||||||
Veranstalter : | AIAA | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||
HGF - Programmthema: | Umweltschonender Antrieb | ||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | L CP - Umweltschonender Antrieb | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Virtuelles Triebwerk | ||||||||||||||||
Standort: | Köln-Porz | ||||||||||||||||
Institute & Einrichtungen: | Institut für Antriebstechnik > Triebwerk | ||||||||||||||||
Hinterlegt von: | Bröcker, Marius | ||||||||||||||||
Hinterlegt am: | 10 Dez 2024 18:11 | ||||||||||||||||
Letzte Änderung: | 10 Dez 2024 18:11 |
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