B3 Modeling textile reinforced components
For the analysis of the behavior of reinforced concrete components under high-dynamic stress, practicable constitutive formulations have to be developed. Particular attention is paid to the composite zone and the reinforcement layer. The newly designed reliable description of cement and concrete based on a non-local approach of the microplane model is to be implemented for the high-dynamic loading in the context of meso modelling. The aim of the initially deterministic model formation is the realistic description of the wave propagation and the damage processes in the heterogeneous meso structure under impact. From the investigations a deepened understanding of the structure-mechanical behavior is gained and the characteristics which are significant for the global structural level (homogenization) are established. An adapted data modeling is to be selected according to the uncertainty assessment of the data. The different influences on the impact process are to be identified with a polymorphic approach for the fuzzy parameters of the meso scale. Consequences for the structural scale by homogenization can be deduced from this and can be used as a long-range structural analysis for impacts loading with polymorphic-fuzzy parameters, based on the meso-scale results.
Peer Reviewed Journal Publications
- Heravi, A.A., Fuchs, A., Gong, T., Curosu I., Kaliske, M., Mechtcherine, V.: Mechanical characterization of textile reinforced cementitious composites under impact tensile loading using the split Hopkinson tension bar. Cement and Concrete Composites (2020) – under review
- Fuchs, A.; Heider, Y.; Wang, K.; Sun, W.; Kaliske, M.: DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions. Computational Mechanics (2020) – under review
- Fuchs, A.; Kaliske, M.: A gradient enhanced viscoplasticity-damage microplane model for concrete at static and transient loading. In Pijaudier-Cabot et al. (eds.) 10th International Conference on Fracture Mechanics of Concrete and Concrete Structures FraMCoS-X, Bayonne, France, 23-26 June, 2019. doi: 10.21012/FC10.233372
- Leichsenring, F; Fuchs, A.; Graf. W.; Kaliske, M.: Application of Recurrent Neural Networks in Structural Analysis of reinforced concrete structures considering polymorphic uncertainty. Proceedings in Applied Mathematics and Mechanics 19, (2019).