Search Results for "python finite element"
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Showing 48 open source projects for "python finite element"
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Iso2Mesh - A 3D Mesh Generation Toolbox
A 3D surface and volumetric mesh generator for MATLAB/Octave
A simple yet powerful mesh generator based on MATLAB/GNU Octave language, creating finite-element mesh from surfaces or arbitrary 3D volumetric images (such as MRI/CT scans) with fully automatic workflows. -
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PhiPsi
An eXtended Finite Element Method (XFEM) Software.
PhiPsi is a 2D and 3D computational solid mechanics program, which involves the extended finite element method (XFEM), as well as the finite element method (FEM). PhiPsi is written in Fortran and compiled using the GNU Fortran compiler (gfortran). PPView is a visualization tool for PhiPsi. PPView can be used to import Abaqus inp file, view the model defined in the PhiPsi keywords file (*.kpp), edit PhiPsi keywords file, perform a PhiPsi simulation, and view the simulation result files... -
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FEATool Multiphysics - FEA Toolbox
FEATool Multiphysics is an easy to use FEA and CFD Simulation Toolbox
FEATool Multiphysics (https://www.featool.com) is a fully integrated, flexible and easy to use physics and Finite Element Analysis (FEA) simulation toolbox. Developed with ease of use in mind, everyone is able to set up and perform complex multiphysics simulations in a simple GUI without learning coding, programming, or scripting. In addition to built-in FEM and PDE solvers, FEATool features full integration with the high performance SU2, OpenFOAM, and FEniCS physics solvers, functioning... -
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ADE_3D_FEM
A 3D ADE FEM solver including a manual and a basic preprocessor
A 3D Advection-Diffusion Equation Finite Element Method solver including a user's manual and a basic pre-proccessor. -
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Kalypso is an open source application for geospatial modelling and simulation. It is primarily developed to be a user friendly tool for GIS-based modelling and simulation of hydrological and hydraulic numerical models.
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OpenNum
OpenNum lets you distribute solvers with a nice graphical interface
... simulation packages: · it allows managing a centralized materials dataset; · it can read several finite element mesh formats and several field formats. -
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Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model. -
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Finite Element Method Magnetics
Finite element analysis of electromagnetic devices
Solves low frequency magnetic, electrostatic, heat flow, and current flow problems on 2D and axisymmetric domains via the finite element method. -
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CBMPy
PySCeS Constraint Based Modelling
... these into the underlying mathematical structures. . CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services -
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APBS
Biomolecular electrostatics software
This software has moved to http://www.poissonboltzmann.org/. -
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ZanyBlue: Ada libraries towards a finite element framework
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FeRaL
Finite Element Rapid Analysis Lab
FEMM procedures to analyse rotating machines. -
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2D Structural Analysis
Determine the bending moments, shear forces, axial forces and displace
2D Structural Analysis in Python by Ritchie Vink A collection examples of 2D Finite Element Analysis (FEA) made with Jupyter Notebook Lab - https://jupyter.org/ To install Jupyter - https://jupyter.org/install ===== App is available on Play Store -> https://play.google.com/store/apps/details?id=com.ulm.struct If you want to download a python editor for your android smartphone follow this link -> https://play.google.com/store/apps/details?id=com.ulm.python -
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
... mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages. -
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NGSolve is a general purpose Finite Element Library on top of Netgen. With the basic library one can solve heat flow equations, Maxwell equations, and solid mechanical problems. Several add-ons are available for particular application classes. New paper: J. Schöberl: "C++11 Implementation of Finite Elements in NGSolve", ASC Report 30/2014, Institute for Analysis and Scientific Computing, Vienna University of Technology, 2014 http://www.asc.tuwien.ac.at/~schoeberl/wiki/publications/ngs...
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abumpack
Fortran library with the Abaqus user material subroutines UMAT/VUMAT
This library contains several of user material subroutines for implicit quasi-static (UMAT) and explicit dynamic (VUMAT) versions of the Abaqus solver. The project web site: http://abumpack.sf.net. The Abaqus is a proprietary finite element (FE) code ( http://www.3ds.com/products-services/simulia/products/abaqus/). Users can write subroutines for use with the Abaqus. Linear elastic, isotropic hardening plasticity, Gurson-Tvergaard-Needleman (GTN), Rousselier constitutive models... -
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Nifty Sim is a high-performance nonlinear finite element solver, developed at University College London. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.
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RAtom
solves nonlinear Kohn-Sham equation for the neutral atom.
RAtom solves nonlinear Kohn-Sham equation for the neutral atom. The adaptive algorithm based on finite element method (FEM) is implemented. Discretization of the differential eigenvalue problem is done by finite element method with Lobatto polynomials as a basis functions. High order Gauss quadratures are applied in order to obtain the total energy of atom with absolut accuracy of 1E-6 hartree. Disctretization leads to generalized eigenvalue problem, which is solved by procedures from... -
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GMES
GMES is a free Python package for FDTD electromagnetic simulations.
GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST Maxwell’s... -
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Template Code Set for JModelica
This is a template Python code set to use JModelica easily.
This is a template Python code set which makes it easy to use JModelica to solve optimal control problem. The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details. -
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An Octave / LUA scripting language project dedicated to modeling electric motors inside the "Finite Element Method Magnetics" (FEMM) 2-D simulation program. Created to design a motor that fits inside a car wheel, experimenting in many degrees of freedo
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DEVSIM
TCAD Device Simulator
TCAD Device Simulator. DEVSIM is a semiconductor device simulation software, using the finite volume method. This software solves partial differential equations on a mesh. The Python interface allows the user to specify their own equations. -
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KEMP
A FDTD solver for electromagnetic wave simulations on a GPU cluster
KEMP is a fast FDTD solver on a GPU-based cluster. The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language. -
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Impact is an explicit Finite Element Program Suite which simulates dynamic impact events. It has a range of elements, contact handling and different material laws. Models can be created, solved and analyzed with the included pre- and postprocessor. Impact is based on an Explicit Time stepping algorithm. These kind of codes are used to simulate dynamic phenomena such as car crashes and similar, usually involving large deformations.
