Bröcker, Marius and Siggel, Martin and 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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Official URL: https://arc.aiaa.org/doi/10.2514/6.2024-0482
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/202623/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | Integration of large data based on HDF5 in a collaborative and multidisciplinary design environment, Part A: Methodology and Implementation | ||||||||||||||||
| Authors: |
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| Date: | 4 January 2024 | ||||||||||||||||
| Journal or Publication Title: | AIAA SciTech 2024 Forum | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| DOI: | 10.2514/6.2024-0482 | ||||||||||||||||
| ISBN: | 978-162410711-5 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Aircraft Engine Design, HDF5, Data Integration, Large Data, Data Structures, Computational Structural Mechanics | ||||||||||||||||
| Event Title: | AIAA Scitech 2024 Forum | ||||||||||||||||
| Event Location: | Orlando, USA | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Start Date: | 8 January 2024 | ||||||||||||||||
| Event End Date: | 12 January 2024 | ||||||||||||||||
| Organizer: | AIAA | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||||||
| HGF - Program Themes: | Clean Propulsion | ||||||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||||||
| DLR - Program: | L CP - Clean Propulsion | ||||||||||||||||
| DLR - Research theme (Project): | L - Virtual Engine | ||||||||||||||||
| Location: | Köln-Porz | ||||||||||||||||
| Institutes and Institutions: | Institute of Propulsion Technology > Engine | ||||||||||||||||
| Deposited By: | Bröcker, Marius | ||||||||||||||||
| Deposited On: | 10 Dec 2024 18:11 | ||||||||||||||||
| Last Modified: | 10 Dec 2024 18:11 |
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