On material data P_RAM and P_RAJ for fkm-nonlinear instead prediction from ultimate strength

[ThumserTKP]

It would be benifical to enable the use of material curves based on own experimental data instead of the one based on ultimate strength according to the guideline. This is also decribed in the guideline, e.g. 2.5.3.1, 2.5.5.1and 2.8.5.1.

[johannes-mueller]

@maierbn maybe you want to comment.

[maierbn]

Yes, this would be a good addition. The user should be able to provide their own values for P_RAM/RAJ,Z,WS, P_RAM/RAJ,D,WS, d, d1, d2.

The current workaround is to manually perform the steps in the Jupyter notebook fkm_nonlinear_full.ipynb or the script assessment_nonlinear_standard.py. Instead of

assessment_parameters = parameter_calculations.calculate_material_woehler_parameters_P_RAM(assessment_parameters)
assessment_parameters = parameter_calculations.calculate_material_woehler_parameters_P_RAJ(assessment_parameters)

provide your own values in assessment_parameters.

[johannes-mueller]

Do you think it would make sense to do this for the 2.2.0 release or after it?

[maierbn]

I would do it afterwards. It also helps Kristina with her topic and would be a feature to be tested for itself.

[johannes-mueller]

Ok. Then I will reissue it after 2.2.

@ThumserTKP, thanks for your input.