2021
Schwalbach, M. 2021. An Efficient CAD-Based Multidisciplinary Optimization Framework for Turbomachinery Design. PhD Thesis. TU Kaiserslautern
2019
Müller, L., Verstraete, T., Schwalbach, M.. 2019. Adjoint-Based Multidisciplinary, Multipoint Optimization of a Radial Turbine Considering Aerodynamic and Structural Performances. Conference Proceedings of the ASME Turbo Expo 2019 (GT2019-91823).
Schwalbach, M., Verstraete, T., Gauger, N.R.. 2019. Discrete adjoint gradient evaluations for linear stress and vibration analysis. Computing and Visualization in Science. https://doi.org/10.1007/s00791-019-00317-x
Schwalbach, M., Verstraete, T., Müller, J. D., Gauger, N. R.. 2019. A Comparative Study of Two Different CAD-Based Mesh Deformation Methods for Structural Shape Optimization. In Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. pp. 47-60. Computational Methods in Applied Sciences, vol 49.
2018
Schwalbach, M. Müller, L., Verstraete, T., Gauger, N. R.. 2018. CAD-based Adjoint Multidisciplinary Optimization of a Radial Turbine Under Structural Constraints. Conference Proceedings of the GPPS 2018 (GPPS-NA-2018-133)
2017
Schwalbach, M., Verstraete, T., Gauger, N. R.. 2017. Adjoint Optimization of Turbomachinery Components Under Mechanical Constraints. The 8th VKI PhD Symposium. 1.-3. March 2017
2016
Schwalbach, M. and Verstraete, T., 2016. Towards Multidisciplinary Adjoint Optimization of Turbomachinery Components. Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering, pp. 3999-4010 .
Lotz, J., Schwalbach, M. and Naumann, U., 2016. A Case Study in Adjoint Sensitivity Analysis of Parameter Calibration. Procedia Computer Science, 80, pp. 201-211.