adtzlr
PhD Candidate in Mechanical Engineering @ TU Graz. Development Engineer in the Railway Industry. Opinions related to this account are my own.
Graz University of TechnologyGraz, Austria
Pinned Repositories
contique
Numeric continuation of equilibrium equations
cubrium
cubrium - a cube in equilibrium
felupe
:mag: finite element analysis for continuum mechanics of solid bodies
felupe-web
Notebooks for FElupe
hyperelastic
Constitutive hyperelastic material formulations for FElupe.
matadi
Material Definition with Automatic Differentiation
meshzoo
:tiger: :cow: :panda_face: A collection of meshes for canonical domains
tensortrax
Differentiable Tensors based on NumPy Arrays
trusspy
Nonlinear Truss Solver for Python
ttb
Tensor Toolbox for Modern Fortran
adtzlr's Repositories
adtzlr/ttb
Tensor Toolbox for Modern Fortran
adtzlr/felupe
:mag: finite element analysis for continuum mechanics of solid bodies
adtzlr/trusspy
Nonlinear Truss Solver for Python
adtzlr/matadi
Material Definition with Automatic Differentiation
adtzlr/tensortrax
Differentiable Tensors based on NumPy Arrays
adtzlr/contique
Numeric continuation of equilibrium equations
adtzlr/hyperelastic
Constitutive hyperelastic material formulations for FElupe.
adtzlr/felupe-web
Notebooks for FElupe
adtzlr/cubrium
cubrium - a cube in equilibrium
adtzlr/meshzoo
:tiger: :cow: :panda_face: A collection of meshes for canonical domains
adtzlr/named-einsum
NumPy's Einsum, but with named subscripts.
adtzlr/prepostpy
High-level Scripting Interface for FEA Pre- and Postprocessing
adtzlr/fatpack
fatpack provides functions and classes for fatigue analysis of data series.
adtzlr/fiberreinforcedrubber
Numeric simulation for a test specimen with a fiber-reinforced rubber composite
adtzlr/adtzlr
adtzlr/aperitif
Nonlinear Finite Elements Code for Continuum Mechanics
adtzlr/einsumt
Multithreaded version of numpy.einsum
adtzlr/jupyterlite
adtzlr/just-the-docs-template
test docs
adtzlr/meshio
:spider_web: input/output for many mesh formats
adtzlr/mkdocs-material
Documentation that simply works
adtzlr/njet
A lightweight AD package, using forward-mode automatic differentiation, in order to determine the higher-order derivatives of a given function in multiple variables.
adtzlr/pacopy
:triangular_ruler: Numerical parameter continuation in Python.
adtzlr/tikzplotlib
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.