Nina Korshunova

Nina Korshunova M.Sc. (hons.)

Wissenschaftliche Mitarbeiterin

Koordinatorin für Bavarian Graduate School of Computational Engineering (BGCE)

Room: 3163

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tel: +49 89 289-25054

Fax: +49 89 289-25051

Forschung

Publications



  • Korshunova, N.; Jomo, J.; Lékó, G.; Reznik, D.; Balázs, P.; Kollmannsberger, S. Image-based material characterization of complex microarchitectured additively manufactured structures
    Computers and Mathematics with Applications, 2019 - Status: Preprint / submitted

    Conference Talks

    • Korshunova N., Jomo J., Reznik D., Kollmannsberger S., Rank E. From CT-Scans to material characterization: mechanical behavior of micro-porous metal structures
      In: High-Order Finite Element and Isogeometric Methods, 2019

    • Korshunova, N., Jomo, J., Reznik, D., Kollmannsberger, S., Rank, E. Material characterization of additively manufactured complex steel components
      In: Simulation for Additive Manufacturing (Sim-AM 2019), 2019

    • Jomo J., Korshunova N., Carraturo M., Kollmannsberger S., Mundani R. P., Rank E. A parallel immersed finite element framework for numerical computations of metal additive manufacturing processes and products
      In: II International Conference on Simulation for Additive Manufacturing, Pavia, Italy, 2019

    • Korshunova, N., Jomo, J., Reznik, D., Kollmannsberger, S., Düster, A., Rank, E. From images to material characterization of additively manufactured micro-architectured structures
      In: 13th World Congress in Computational Mechanics, 2018

    • Kopp, P.; Korshunova, N.; Seidl, R.; Zander, N.; Kollmannsberger, S.; Rank, E. Finite Cell discretizations for Full Waveform Inversion
      In: European Conference on Computational Mechanics, 2018

    • Korshunova, N.; Reznik, D.; Kollmannsberger, R.; Rank, E. Numerical simulation of material parameters of additively manufactured porous metal parts
      In: 1st ECCOMAS Thematic Conference on Simulation for Additive Manufacturing, 2017

    Theses

    • Korshunova, Nina Partitioned hp-d approach for multiscale transient heat problems
      Master's thesis, Technische Universität München, 2016

    • Kopp, P.; Korshunova. N. Crack detection by full waveform inversion using multi-level hp-FEM
      Honours project, Technische Universität München, 2016

    Lehre

    Supervised Software Labs

    Supervised Theses

      • Hayden Liu Weng Partitioned hierarchical space-time FEM for transient heat problems
        Master's thesis, Technische Universität München, 2019