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Sensitivity analysis and robustness analysis

For more in-depth examinations of your components, based on FEM structure calculations, we offer you the sensitivity analysis and the robustness analysis.


In the context of sensitivity analysis, we can identify the optimisation potential of your components. Through corresponding methods, we are capable of identifying the sensitive controlling variables on which you can base optimisation strategies.


Robustness analyses allow us to select the ideal concept for your component, guaranteeing the required component properties (load capacity, weight, or production complexity) while taking into consideration varying boundary conditions (e.g. production tolerances, difficulties quantifying environmental conditions at the customer location). To this end, we work with you to define spatial and physical limits within which your component can be permitted to move. We then calculate the ideal design for your application and the ideal operating point.


Highly specialised software keeps the complexity of the respective method as low as possible, in order to allow your component to be optimised in accordance with your priorities. The fields of application range here from selection of suitable sheet thicknesses or the ideal form of a recess, all the way up to complex design optimisations.


You might also be interested in the following pages:

Optimisation, higher component quality, while keeping production and maintenance costs as low as possible

Use of a digital twin for predictive maintenance of aircraft engines

Robustness analysis for the magnet system of the ITER nuclear fusion reactor

Final theses on the subject of “Sensitivity and robustness analysis”:

  • Deutz, Sabrina
    Trialling meta-modelling approaches to determining key variables for thermally loaded turbine housing components, 2020
  • Paquée, P.
    Creation of a digital twin using sensor systems, simulation and meta-modelling in ANSYS, optiSLang and Statistics on Structures, 2020
  • Schulze Spüntrup, H.
    Development of a workflow for robustness analysis of the service lifespans of gas turbine housings using random field models of geometry variations, 2014

You can find an overview of the final theses completed in our company here (PDF).