CalculiX examples by Prof. Martin Kraska from Brandenburg University of Applied Sciences. Excellent starting point to master parametric modelling with CGX and CCX.
From my point of view, a new script would be very useful, which would calculate the values of the parameters of build-in materials and from the MFront library (Chaboche, Yoshida) against the data from the experiment (like LCF; stress-strain; force-displacement).
From my point of view, a new script would be very useful, which would calculate the values of the parameters of build-in materials and from the MFront library (Chaboche, Yoshida) against the data from the experiment (like LCF; stress-strain; force-displacement).
Something like OptiMax: https://prepomax.fs.um.si/wp-content/uploads/2022/09/Optimax-USERS-MANUAL-v0.6.4.pdf or: https://www.researchgate.net/publication/358588025_A_new_method_for_identification_of_cyclic_plasticity_model_parameters
Something like in CodeAster: https://code-aster.org/V2/UPLOAD/DOC/Formations/15-parameter-fitting.pdf
Maybe Genetic Algorithm (GA from pygad) and https://github.com/cjekel/similarity_measures: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004668/pdf/materials-16-01821.pdf
Existing scripts can be used: dat2txt.py and param.py (for .inp)