
Prof. Dr.-Ing. habil. Stefan Kollmannsberger
is Professor at Bauhaus-University Weimar and is Head of the Chair of Data Science in Civil Engineering. He was head of the work group ‘Simulation in Applied Mechanics’ at the Chair of Computational Modeling and Simulation and has a fifteen year-long scientific record in that field. In this project, he is responsible for the development of simulation methods for metal based artefacts.
Project(s)
Material Modelling and Simulation of Deposition AM Processes on the Part Scale
Bridging Scales – From Geometric Part Details to Construction Elements
Publications
2025 | A. Daneshyar, D. Siebert, C. Radlbeck, S. Kollmannsberger: A Plastic Damage Model With Mixed Isotropic–Kinematic Hardening for Low-Cycle Fatigue in 7020 Aluminum Fatigue & Fracture of Engineering Materials & Structures, 2025, https://doi.org/10.1111/ffe.14623.
Data | Zenodo, 2024, https://doi.org/10.5281/zenodo.14223187.
2024 | R. De Biasi, O. Oztoprak, F. Zanini, S. Carmignato, S. Kollmannsberger, M. Benedetti: Predicting fatigue life of additively manufactured lattice structures using the image-based Finite Cell Method and average strain energy density Materials & Design, 2024, https://doi.org/10.1016/j.matdes.2024.113321
Data | Fatigue life prediction of AM lattices based on image-based FCM and average strain energy density dataset, Technische Universität München, 2024, https://doi.org/10.14459/2024mp1751465.
2024 | L. Herrmann, A. Daneshyar, S. Kollmannsberger: The discontinuous strain method: accurately representing fatigue and failure, Computational Mechanics, 2024, https://doi.org/10.1007/s00466-024-02526-9
Data | Zenodo,2024,
https://doi.org/10.5281/zenodo.10215919.
2024 | A. Henkes, L. Herrmann, H. Wessels, S. Kollmannsberger: Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures Engineering Applications of Artificial Intelligence, 2024, 108993, https://doi.org/10.1016/j.engappai.2024.108993
Data | Mendeley Data, 2024, https://doi.org/10.17632/zbbrbzrdtd.3.
2024 | M. Meßmer, R. Najian, S. Kollmannsberger, R. Wüchner, K.U. Bletzinger: Shape optimization of embedded solids using implicit Vertex-Morphing, Computer Methods in Applied Mechanics and Engineering, Volume 426, 2024, 116999, ISSN 0045-7825
2024 | C. Faßbender, T. Bürchner, P. Kopp, E. Rank, S. Kollmannsberger: Implicit-explicit time integration for the immersed wave equation. Computers & Mathematics with Applications 163 (2024) 1–13.
https://doi.org/10.1016/j.camwa.2024.02.049
2024 | M. Meßmer, S. Kollmannsberger, R. Wüchner, K.U. Bletzinger: Robust numerical integration of embedded solids described in boundary representation Computer Methods in Applied Mechanics and Engineering, Volume 419, 2024, https://doi.org/10.1016/j.cma.2023.116670.
Data |Quadrature for Embedded Solids – QuESo, GitHub, 2024, https://github.com/manuelmessmer/QuESo.
2023 | Oztoprak, O.; Slepicka, M.; Aninger, A.L.; Kollmannsberger, S.; Rank, E.; Borrmann, A.: Linking Fabrication Information Modeling and Finite Cell Method for simulating the behavior of additively manufactured building components. In: EG-ICE Conference, 2023.
2023 | A. Daneshyar, L. Herrmann, S. Kollmannsberger: From ductile damage to unilateral contact via a point-wise implicit discontinuity. In: Computational Mechanics, 2023, Sep.
doi: 10.1007/s00466-023-02392-x
2023 | O. Oztoprak, A. Paolini, P. D’Acunto, E. Rank, S. Kollmannsberger: Two-scale analysis of spaceframes with complex additive manufactured nodes. In: Engineering Structures, vol. 289, p. 116283, Aug. 2023,
doi: 10.1016/j.engstruct.2023.116283
2022 | Briels, D.; Kollmannsberger, S.; Leithner, F.; Matthäus, C.; Nouman, A.S.; Oztoprak, O.; Rank, E.: Thermal Optimization of Additively Manufactured Lightweight Concrete Wall Elements with Internal Cellular Structure through Simulations and Measurements. In: Buildings 2022, 12, 1023,
https://doi.org/10.3390/buildings12071023
2022 | D’Angella, D., Kollmannsberger, S., Reali, A., Rank, E., Hughes, T. J. R.: An accurate strategy for computing reaction forces and fluxes on trimmed locally refined meshes. In: Journal of Mechanics, vol. 38, pp. 60–76, Apr. 2022
http://doi: 10.1093/jom/ufac006
2021 | Alaimo, G.; Carraturo, M.; Korshunova, N.; Kollmannsberger, S.: Numerical evaluation of high cycle fatigue life for additively manufactured stainless steel 316L lattice structures. In: Material Design and Processing Communication 3 (4), pp. e249, Wiley, 2021. – DOI: 10.1002/mdp2.249.
2021 | Jomo, J.; Oztoprak, O.; de Prenter, F.; Zander, N.; Kollmannsberger, S.; Rank, E.: Hierarchical multigrid approaches for the finite cell method on uniform and multi-level hp-refined grids. In: Computer Methods in Applied Mechanics and Engineering 386, pp. 114075, 2021. – DOI: 10.1016/j.cma.2021.114075.
2021 | Paolini, A.; Korshunova, N.; Kollmannsberger, S.; Rank, E.: Multiscale analysis of high damping composites using the finite cell and the mortar method. In: International Journal of Structural Stability and Dynamics, 2021. – DOI: 10.1142/S0219455421501492.
2021 | Korshunova, N.; Papaioannou, I.; Kollmannsberger S.; Straub, D.; Rank, E.: Uncertainty quantification of microstructure variability and mechanical behavior of additively manufactured lattice structures. In: Computer Methods in Applied Mechanics and Engineering 385 (1), pp. 114049, 2021. – DOI: https://doi.org/10.1016/j.cma.2021.114049.
2021 | Korshunova, N.; Alaimo, G.; Hosseini, S. B.; Carraturo, M.; Reali, A.; Niiranen, J.; Auricchio, F.; Rank, E.; Kollmannsberger, S.: Bending behavior of octet-truss lattice structures: modelling options, numerical characterization and experimental validation. In: Materials & Design, 2021.
2021 | Korshunova, N.; Alaimo, G.; Hosseini, S.; Carraturo, M.; Reali, A.; Niiranen, J.; Auricchio, F.; Rank, E.; Kollmannsberger, S.: A CT-based numerical characterization of tensile behavior of additively manufactured octet-truss structures and its experimental validation. In: Additive Manufacturing, p. 101949, 2021. – DOI: https://doi.org/10.1016/j.addma.2021.101949.
2020 | Wassermann, B.; Korshunova, N.; Kollmannsberger, S.; Rank, E.; Elber, G.: Finite Cell Method for functionally graded materials based on V-models and homogenized microstructures. In: Advanced Modeling and Simulation in Engineering Sciences (7), pp. 49, 2020. – DOI: 10.1186/s40323-020-00182-1.