In aerospace engineering, simulation is a key technology. Examples are pre-design studies, optimization, systems simulation, or mission simulations of aircrafts and space vehicles. These kinds of complex simulations need two distinct technologies. First, highly sophisticated simulation codes for each involved discipline (for example, codes for computational fluid dynamics, structural analysis, or flight mechanics) to simulate the various physical effects. Secondly, a simulation infrastructure and well-designed supporting tools to work effectively with all simulation codes. This paper focuses on the infrastructure and the supporting tools, especially for managing both the data resulting from large-scale simulation and the necessary knowledge for conducting complex simulation tasks. Examples of recent developments at the German Aerospace Center in the fields of data and knowledge management to support aerospace research by e-Science technologies are presented.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Scientific data and knowledge management in aerospace engineering


    Contributors:


    Publication date :

    2009


    Size :

    6 Seiten, 13 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Supplier knowledge exchange in aerospace product engineering

    Fan, Ip-Shing / Russell, Steve / Lunn, Richard | Emerald Group Publishing | 2000



    Progress in Aerospace Engineering through Knowledge Transfer in Sustainable Engineering

    Gohardani, Amir S. / Gohardani, Omid / Gohardani, Navid | AIAA | 2018


    Aerospace engineering

    TIBKAT | 3.1983 - 27.2007