M. Sc. Oguz Oztoprak

Current location: Bauhaus-Universität Weimar

Institute: Chair of Data Science in Civil Engineering

OrcidiD: 0000-0002-5326-6721

Oguz Oztoprak is a doctoral researcher at the Chair of Data Science in Civil Engineering at Bauhaus-University Weimar. He conducts research on geometric modelling and simulation of AM parts. More specificaly, he develops efficient and effective mechanical simulation workflows to integrate complex AM parts into building scale models.

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.

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 | 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

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.