A Python Library for Hyperelastic Material Model Fitting
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A Python Library for Hyperelastic Material Model Fitting
Temperature- & rate-dependent shear and rheo-bending models for molten PA6 with solver-ready material hook
Repository with source code and data for the paper E. Kabliman, G. Kronberger: Identification of Empirical Constitutive Models for Age-Hardenable Aluminium Alloy and High-Chromium Martensitic Steel Using Symbolic Regression.
🛠 Fit hyperelastic and Mullins effect material models to experimental data with HyperFit, a versatile Python library for robust computational mechanics.
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