This release of pyLabFEA allows finite element analysis (FEA) of 2D models with arbitrary arrangements of elasto-plastic materials and flexible boundary conditions. Machine Learning (ML) flow rules for anisotropic plasticity can be trained either with data from micromechanical simulations or with reference materials. An interface to a UMAT is provided to allow embedding of the ML flow rules in more complex models with commercial FEA tools. Examples for the use of the pyLabFEA package are provided in form of Jupyter Notebooks and Python code
This is the user-subroutine and python script used for generating the finite element predictions sho...
We study the acceleration of the finite element method (FEM) simulations using machine learning (ML)...
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This is the user-subroutine and python script used for generating the finite element predictions sho...
We study the acceleration of the finite element method (FEM) simulations using machine learning (ML)...
Finite element (FE) model updating in Python by an example. The framework of sensitivity-based FE mo...
In this thesis project, an originally very simple Finite Element Method (FEM) code written in Python...
In this work a new approach to finite element model management and pre-processing is proposed and re...
PyElastica is the python implementation of Elastica: an open-source project for simulating assemblie...
Finite Element Method and Topology Optimization Method implementation in python using the Solid Isot...
Trained machine learning (ML) algorithms can serve as numerically efficient surrogate models of soph...
MuMaP_fwd is a python library for forward modeling elastic properties of partially molten rocks. The...
pyMOR is a software library for building model order reduction applications with the Python programm...
pyMOR is a software library for building model order reduction applications with the Python programm...
Passthrough kwargs support for Structure.from_file and Structure.from_str Allow the frac_tolerance t...
The `pyfe3d` module is a general-purpose finite element solver for structural analysis and optimizat...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
Finite Element Modeling (FEM) Code: Python Tools, Field II Intensity Field Solution, LS-DYNA Pre/Pos...
This is the user-subroutine and python script used for generating the finite element predictions sho...
We study the acceleration of the finite element method (FEM) simulations using machine learning (ML)...
Finite element (FE) model updating in Python by an example. The framework of sensitivity-based FE mo...