GRK 2250
Table of contents
Overarching approach in GRK 2250, experiments, simulations and data-driven methods intertwine
Important data at a glance
| Project title: | GRK 2250 – Impact safety of building structures by mineral-bonded composites |
|---|---|
| Subproject title: | Project C3 – AI methods for the sustainable, synergetic use of the research results of GRK 2250, for the design and optimization of impact protection systems |
| Duration: | 08/2020 – 07/2023 |
| Collaborative project: | yes |
| Funding: | |
| Processor / Contact person: | Dipl.-Ing. Felix Conrad |
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Cooperation: |
TU Dresden:
More: |
| Logline: | The aim is to increase the impact safety of existing building structures, which have a low resistance to short-term dynamic loading, by using mineral-bonded composites. AI methods will be applied to support the design of these impact protection systems. |
Objective
Motivation
The use of novel mineral-bonded composites significantly increases the safety of people and infrastructure essential to their lives, especially as building structures have high social, economic and environmental value.
Resources used for research will be used more efficiently through the application of AI methods.
Solution approach
The results of the basic research enable the strengthening of current structures and the sustainable construction of new structures that are highly resistant to impact loads. With the generation of an overarching scientific added value from the research data of the subprojects, the synergies of the subprojects are significantly strengthened. This will serve as a template for further interdisciplinary research projects.
Solution
In order to make the research data of the subprojects usable for higher-level processing at all, first and foremost a customized data management concept must be developed. Only on the basis of this data management structure can AI methods be applied. These are to combine the results of the subprojects and finally lead to a demonstrator with optimized properties.
Schematic representation of data sources, data flows, and data analysis in GRK
Results
At the end of the project, there is a demonstrator component that has been designed using AI methods with the aim of exhibiting the highest possible resistance to impact loads. The methodology used in this project can thus be evaluated. Thus, the proof-of-concept maturity level is reached and the demonstrated methodology can be applied in further interdisciplinary research projects.
The customized data management structure for the GRK starts with its pilot phase.
Contact
© Crispin-Iven Mokry
Research associate
NameMr Dipl.-Ing. Felix Conrad
Machine data processing
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Chair of Machine Tools Development and Adaptive Controls
Visiting address:
Kutzbach-Bau, Room E6 Helmholtzstraße 7a
01069 Dresden