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Multiscale finite element calculations in Python using sfepy. (English) Zbl 1433.65005

Summary: SfePy (simple finite elements in Python) is a software for solving various kinds of problems described by partial differential equations in one, two, or three spatial dimensions by the finite element method. Its source code is mostly (85%) Python and relies on fast vectorized operations provided by the NumPy package. For a particular problem, two interfaces can be used: a declarative application programming interface (API), where problem description/definition files (Python modules) are used to define a calculation, and an imperative API, that can be used for interactive commands, or in scripts and libraries. After outlining the SfePy package development, the paper introduces its implementation, structure, and general features. The components for defining a partial differential equation are described using an example of a simple heat conduction problem. Specifically, the declarative API of SfePy is presented in the example. To illustrate one of SfePy’s main assets, the framework for implementing complex multiscale models based on the theory of homogenization, an example of a two-scale piezoelastic model is presented, showing both the mathematical description of the problem and the corresponding code.

MSC:

65-04 Software, source code, etc. for problems pertaining to numerical analysis
65M60 Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs
74-04 Software, source code, etc. for problems pertaining to mechanics of deformable solids
65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs
65Y05 Parallel numerical computation
65Y15 Packaged methods for numerical algorithms
74S05 Finite element methods applied to problems in solid mechanics
74F15 Electromagnetic effects in solid mechanics
35Qxx Partial differential equations of mathematical physics and other areas of application
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