A hyperelastic model library and fitting toolkit developed by TRACER Lab at Liberty University. An extension is provided for Optimization.jl for model calibration based on experimental data.
To install Hyperelastics.jl in Julia >= v1.9, use the Julia package manager:
using Pkg
Pkg.add("Hyperelastics")The development of Hyperelastics.jl began as a study of the accuracy for a variety of material models for a set of experimental data. Often, researchers rely on custom implementations of material models and the data fitting process to find material parameters that match their experimental data. Hyperelastic models can well represent the nonlinear stress-deformation behavior of many biological tissues as well as engineering polymeric materials.
The SEDFs included in this package cover most (if not all) of the available analytical models from the literature to date, from constitutive to phenomelogical models. Furthermore, a selection of data-driven models are incldued as a starting point for the development of new methods.
Hyperelastics.jl is part of a spinoff Multi-Scale Material Modelling (Hyperelastics.jl is designed to leverage multiple-dispatch to define a common set of functions for calculating the SED, Second Piola Kirchoff Stress Tensor, and the Cauchy Stress Tensor. The package provides a set of hyperelastic models and an interface to Optimization.jl for fitting model parameters.
Currently, most commercial finite element codes only offer a limited number, often less than 10, of hyperelastic models which limits the extent to which researchers are able to accurately model a given material. The closest project to Hyperelastics.jl is the matADi project by Andreas Dutzler [@matAdi2023] which has AD support for 18 material models.
All relevant citations are located in CITATIONS.bib
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reStructuredText: .. image:: https://joss.theoj.org/papers/10.21105/joss.06314/status.svg :target: https://doi.org/10.21105/joss.06314