fenics-topopt | Topology optimization with finite element analysis

by zfergus Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | fenics-topopt Summary

fenics-topopt is a Python library. fenics-topopt has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However fenics-topopt build file is not available. You can download it from GitHub.

Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.

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fenics-topopt has a low active ecosystem.

It has 52 star(s) with 23 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fenics-topopt is current.

Quality

fenics-topopt has 0 bugs and 0 code smells.

Security

fenics-topopt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fenics-topopt code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fenics-topopt is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fenics-topopt releases are not available. You will need to build from source code and install.

fenics-topopt has no build file. You will be need to create the build yourself to build the component from source.

fenics-topopt saves you 631987 person hours of effort in developing the same functionality from scratch.

It has 315557 lines of code, 149 functions and 49 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed fenics-topopt and discovered the below as its top functions. This is intended to give you an instant insight into fenics-topopt implemented functionality, and help decide if they suit your requirements.

Runs the evolution of a mesh
Calculate the sigma of a matrix
Calculates the stress of a mesh
Linear elasticity problem
Updates the stress map
Calculates the principal stress of x
Return an array of homogenous coordinates
Calculate stress
Calculate the finite difference function
Filter compliance sensitivity
Compute the displacements of the problem
Compute compliance function
Plots a 2d mesh
Returns the force vector for the problem
Get a set of fixed nodes
Return a list of fixed nodes
Generate a mesh from an image
Get list of passive elements
Scale a mesh
Volume function
Get the forces of the model
Dump a Lolfin XML file
Build the indices for the coo format
Calculates the difference of the stress
Plot the force arrow
R Compute the sigma

Get all kandi verified functions for this library.

fenics-topopt Key Features

No Key Features are available at this moment for fenics-topopt.

fenics-topopt Examples and Code Snippets

No Code Snippets are available at this moment for fenics-topopt.

Community Discussions

No Community Discussions are available at this moment for fenics-topopt.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fenics-topopt

You can download it from GitHub.
You can use fenics-topopt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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