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MFEM is an open-source C++ library for solving partial differential equations using the finite element method, developed and maintained by researchers at the Lawrence Livermore National Laboratory and the MFEM open-source community on GitHub. MFEM is free software released under a BSD license. [1]
MFEM is a free, lightweight, scalable C++ library for finite element methods that features arbitrary high-order finite element meshes and spaces, support for a wide variety of discretizations, and emphasis on usability, generality, and high-performance computing efficiency. MFEM team 4.7 2024-05-07 BSD: Free Linux, Unix, Mac OS X, Windows ...
The extended finite element method (XFEM) is a numerical technique based on the generalized finite element method (GFEM) and the partition of unity method (PUM). It extends the classical finite element method by enriching the solution space for solutions to differential equations with discontinuous functions.
These are described by partial differential equations which Elmer solves by the Finite Element Method (FEM). Elmer comprises several different parts: [ 4 ] ElmerGrid – A mesh conversion tool, which can be used to convert differing mesh formats into Elmer-suitable meshes.
The finite element method (FEM) is a powerful technique originally developed for numerical solution of complex problems in structural mechanics, and it remains the method of choice for complex systems. In the FEM, the structural system is modeled by a set of appropriate finite elements interconnected at
The finite element method allows engineers to virtually model components, assemblies, or systems to determine behavior under a given set of boundary conditions, and is typically used in the design process to reduce costly prototyping and testing, evaluate differing designs and materials, and for structural optimization to reduce weight.
The conventional topology optimization formulation uses a finite element method (FEM) to evaluate the design performance. The design is optimized using either gradient-based mathematical programming techniques such as the optimality criteria algorithm and the method of moving asymptotes or non gradient-based algorithms such as genetic algorithms.
Post processing of finite element data generally requires additional software or programming to specify how the data is to be transformed or presented. [1] This software may include checks on the codes and standards to which the model must comply (e.g., the check of panel stiffened structures [2]).