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Data- and simulation-based material behaviour prediction

Published online by Cambridge University Press:  16 May 2024

Anton Dybov ,
Carina Fresemann  and
Rainer Stark
Anton Dybov*
Affiliation:
Technische Universität Berlin, Germany
Carina Fresemann
Affiliation:
Technische Universität Berlin, Germany
Rainer Stark
Affiliation:
Technische Universität Berlin, Germany
*
[email protected]

Abstract

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In research environments and laboratories e.g. for material sciences the in- and output of simulation data is manually managed. Therefore, physical experiments as well as simulations might be carried out several times, learnings are not systematically gathered, and experiments do not systematically build on learnings from data. This paper proposes to engage an ontology in conjunction with a simulation to use data from already carried out experiments and on that basis predict material behaviour under certain condition and plan further physical experiments.

Keywords

ontologysimulationbehavioural design
Type
Design Methods and Tools
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 563 - 572
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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