elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Integration of large data based on HDF5 in a collaborative and multidisciplinary design environment, Part A: Methodology and Implementation

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.

[img] PDF
415kB

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/
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:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bröcker, MariusMarius.Broecker (at) dlr.dehttps://orcid.org/0009-0001-7824-5564173487247
Siggel, Martinmartin.siggel (at) dlr.dehttps://orcid.org/0000-0002-3952-4659UNSPECIFIED
Reitenbach, StanislausStanislaus.Reitenbach (at) dlr.deUNSPECIFIEDUNSPECIFIED
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

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.