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Finite Element Analysis

Project description

Finite Element Analysis.

PyPI version shields.io Documentation Status License: GPL v3 Made with love in Graz (Austria) codecov DOI Codestyle black GitHub Repo stars PyPI - Downloads Binder lite-badge Open In Colab

FElupe is a Python 3.7+ 🐍 finite element analysis package 📦 focussing on the formulation and numerical solution of nonlinear problems in continuum mechanics 🔧 of solid bodies 🚂. Its name is a combination of FE (finite element) and the german word Lupe 🔍 (magnifying glass) as a synonym for getting an insight 📖 how a finite element analysis code 🧮 looks like under the hood 🕳️.

Installation

Install Python, fire up 🔥 a terminal and run 🏃

pip install felupe[all]

where [all] installs all optional dependencies. FElupe has minimal dependencies, all available at PyPI supporting all platforms.

  • numpy for array operations
  • scipy for sparse matrices
  • tensortrax for automatic differentiation

In order to make use of all features of FElupe 💎💰💍👑💎, it is suggested to install all optional dependencies.

  • einsumt for parallel assembly
  • h5py for XDMF result files
  • matplotlib for plotting graphs
  • meshio for mesh-related I/O
  • pyvista for interactive visualizations
  • tqdm for showing progress bars during job evaluation

Getting Started

This tutorial covers the essential high-level parts of creating and solving problems with FElupe. As an introductory example 👨‍🏫, a quarter model of a solid cube with hyperelastic material behaviour is subjected to a uniaxial elongation applied at a clamped end-face.

First, let’s import FElupe and create a meshed cube out of hexahedron cells with a given number of points per axis. A numeric region, pre-defined for hexahedrons, is created on the mesh. A vector-valued displacement field is initiated on the region. Next, a field container is created on top of this field.

A uniaxial load case is applied on the displacement field stored inside the field container. This involves setting up symmetry planes as well as the absolute value of the prescribed displacement at the mesh-points on the right-end face of the cube. The right-end face is clamped 🛠️: only displacements in direction x are allowed. The dict of boundary conditions for this pre-defined load case are returned as boundaries and the partitioned degrees of freedom as well as the external displacements are stored within the returned dict loadcase.

An isotropic pseudo-elastic Ogden-Roxburgh Mullins-softening model formulation in combination with an isotropic hyperelastic Neo-Hookean material formulation is applied on the displacement field of a nearly-incompressible solid body.

A step generates the consecutive substep-movements of a given boundary condition. The step is further added to a list of steps of a job 👩‍💻 (here, a characteristic-curve 📈 job is used). During evaluation ⏳, each substep of each step is solved by an iterative Newton-Rhapson procedure ⚖️. The solution is exported after each completed substep as a time-series ⌚ XDMF file. Finally, the result of the last completed substep is plotted.

For more details beside this high-level code snippet, please have a look at the 📝 documentation.

import felupe as fem

# create a hexahedron-region on a cube
mesh = fem.Cube(n=6)
region = fem.RegionHexahedron(mesh)

# add a field container (with a vector-valued displacement field)
field = fem.FieldContainer([fem.Field(region, dim=3)])

# apply a uniaxial elongation on the cube
boundaries, loadcase = fem.dof.uniaxial(field, clamped=True)

# define the constitutive material behaviour
# and create a nearly-incompressible (u,p,J - formulation) solid body
umat = fem.OgdenRoxburgh(material=fem.NeoHooke(mu=1), r=3, m=1, beta=0)
solid = fem.SolidBodyNearlyIncompressible(umat, field, bulk=5000)

# prepare a step with substeps
move = fem.math.linsteps([0, 1, 0, 1, 2, 1], num=5)
step = fem.Step(items=[solid], ramp={boundaries["move"]: move}, boundaries=boundaries)

# add the step to a job, evaluate all substeps and create a plot
job = fem.CharacteristicCurve(steps=[step], boundary=boundaries["move"])
job.evaluate(filename="result.xdmf")
fig, ax = job.plot(
    xlabel="Displacement $u$ in mm $\longrightarrow$",
    ylabel="Normal Force $F$ in N $\longrightarrow$",
)

# visualize the results
view = fem.View(field)
view.plot("Principal Values of Logarithmic Strain").show()

curve

cube

Documentation

The documentation is located here.

Extension Packages

The capabilities of FElupe may be enhanced with extension packages created by the community.

Package Description Link
tensortrax Math on (Hyper-Dual) Tensors with Trailing Axes https://github.com/adtzlr/tensortrax
matADi Material Definition with Automatic Differentiation (AD) https://github.com/adtzlr/matadi
FEplot A visualization tool for FElupe https://github.com/ZAARAOUI999/feplot

Changelog

All notable changes to this project will be documented in this file. The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

License

FElupe - finite element analysis (C) 2023 Andreas Dutzler, Graz (Austria).

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

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