Dr.
Peter Gangl
Research Scientist
Computational Methods for PDEs
Contact
Email: Peter.Gangl(at)oeaw.ac.at
Telephone: 0043 732 2468 5221
Publications
Journal Publication (4)
- Gangl, P.; Gfrerer, M. H. (2023) A Unified Approach to Shape and Topological Sensitivity Analysis of Discretized Optimal Design Problems. APPL MATH OPT, Bd. 88 (2), S. ARTN 46.
- Ziegler, Anna; Merkel, Melina; Gangl, Peter; Schoeps, Sebastian (2023) On the computation of analytic sensitivities of eigenpairs in isogeometric analysis. COMPUT METHOD APPL M, Bd. 409, S. ARTN 115961.
- Gangl, Peter; Sturm, Kevin (2022) Automated computation of topological derivatives with application to nonlinear elasticity and reaction-diffusion problems. Computer Methods in Applied Mechanics and Engineering, Bd. 398, S. 115288.
- Gangl, Peter; Köthe, Stefan; Mellak, Christiane; Cesarano, Alessio (2022) Multi-objective free-form shape optimization of a synchronous reluctance machine. COMPEL -- The international journal for computation and mathematics in electrical and electronic engineering, Bd. 41 (5), S. 1849-1864.
Contribution in Collection (3)
- Gangl, Peter; Gobrial, Mario; Steinbach, Olaf (2024) A Parallel Space-Time Finite Element Method for the Simulation of an Electric Motor. In: Dostál, Zdeněk; Kozubek, Tomáš; Klawonn, Axel; Langer, Ulrich; Pavarino, Luca F. et al. [..] (Hrsg.), Domain Decomposition Methods in Science and Engineering XXVII; Prague: Springer.
- Mellak, Christiane; Cesarano, Alessio; Gangl, Peter; Deuringer, Josef; Muetze, Annette (2023) Free-Form Rotor Optimization for Synchronous Reluctance Machines used in X-ray Tubes.
- Gangl, Peter; Krenn, Nepomuk (2023) Topology optimization of a rotating electric machine by the topological derivative., Proceedings in Applied Mathematics and Mechanics; Aachen: Wiley.
Other Publication (2)
- Gangl, Peter; Gobrial, Mario; Steinbach, Olaf (2023) A space-time finite element method for the eddy current approximation of rotating electric machines.
- Gangl, Peter; Löscher, Richard; Steinbach, Olaf (2023) Regularization and finite element error estimates for elliptic distributed optimal control problems with energy regularization and state or control constraints.