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Simplifies HGO_4Fibers by removing Kinematics #43

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jmartfrut merged 1 commit into from
Nov 3, 2025
Merged

Simplifies HGO_4Fibers by removing Kinematics #43

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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -12,9 +12,10 @@ src="https://github.com/jmartfrut/HyperFEM/blob/main/docs/imgs/logo.png?raw=true
[![Build Status](https://github.com/MultiSimOLab/HyperFEM/actions/workflows/ci.yml/badge.svg?branch=main)](https://github.com/MultiSimOLab/HyperFEM/actions/workflows/ci.yml?branch=main)
[![Coverage](https://codecov.io/gh/jmartfrut/HyperFEM.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/jmartfrut/HyperFEM.jl)

# **M**ultiphysics-informed **D**esign of **T**unable **S**mart **M**aterials
# Multiphysics Simulation of Multifunctional Soft Materials

**HyperFEM** is a library within the [Gridap](https://github.com/gridap/Gridap.jl) ecosystem designed for the simulation of multiphysics problems involving multifunctional hyperelastic materials. The ultimate goal of HyperFEM is to provide a **high-level, expressive, and rapid prototyping tool** that accelerates the modeling stages of **Thermo–Electro–Magneto–Mechanical** multiphysics problems. To this end, it includes a comprehensive library of **analytically derived constitutive models** formulated through tensor algebra. In addition, HyperFEM provides abstractions for **monolithic and staggered solution schemes**, extending Gridap’s capabilities in the context of **nonlinear solid mechanics**.

This is an application repository with a collection of drivers for the simulation of Thermo-Electro-Magneto-Mechanical problems. It is based on [Gridap](https://github.com/gridap/Gridap.jl), a package for grid-based approximation of PDEs with Finite Element.

## Installation
Open the Julia REPL, type `]` to enter package mode, and install as follows
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1 change: 0 additions & 1 deletion src/PhysicalModels/MechanicalModels.jl
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Expand Up @@ -716,7 +716,6 @@ struct HGO_4Fibers <: AnisoElastic
end

function (obj::HGO_4Fibers)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
c1, c2 = obj.c1, obj.c2

Ψ(F, M1, M2, M3, M4) = c1[1] / (4 * c2[1]) * (exp(c2[1] * ((F * M1) ⋅ (F * M1) - 1.0)^2.0) - 1.0) +
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