Object-oriented finite element programming: an interactive environment for symbolic derivations, application to an initial boundary value problem

Object-oriented finite element programming has been receiving increasing attention recently. In recent papers the authors' research group has systematically developed a methodology of implementing finite elements within the context of an object-oriented paradigm, using several languages success...

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Vydáno v:Advances in engineering software (1992) Ročník 27; číslo 1; s. 3 - 10
Hlavní autoři: Eyheramendy, Dominique, Zimmermann, Thomas
Médium: Journal Article Konferenční příspěvek
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.10.1996
Elsevier
Témata:
Applied sciences
Computer science; control theory; systems
Exact sciences and technology
Mathematics
Numerical analysis
Numerical analysis. Scientific computation
Partial differential equations, initial value problems and time-dependant initial-boundary value problems
Programming theory
Sciences and techniques of general use
Theoretical computing
Encapsulation
Finite element method
Initial value problem
Inheritance
Object oriented
Symbolic language
Data processing
Numerical method
C language
Message transmission
Polymorphism
Interactive system
ISSN:0965-9978
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Shrnutí:Object-oriented finite element programming has been receiving increasing attention recently. In recent papers the authors' research group has systematically developed a methodology of implementing finite elements within the context of an object-oriented paradigm, using several languages successively: Smalltalk, Ctalk and finally C ++. The key features of the object-oriented approach (data encapsulation, message passing, hierarchical code organization, inheritance and polymorphism) have been shown to produce codes with enhanced modularity and improved reusability, even among different programmers, and to lead to faster prototyping and easier debugging of new codes. In this article an attempt to go beyond this stage is illustrated. The principles of object-oriented programming are applied directly to the problem statement in differential form. The new approach is conducted as follows: • User input: strong form • Symbolic derivation: weak form • Symbolic derivation: Galerkin form • Symbolic derivation: matrix form • Numerical derivation: numerical matrix form All derivations are carried out in symbolic form except for that of the final numerical matrix form. The barriers between symbolic and numerical programming are broken and the code is generated automatically. The potential of the proposed approach is illustrated by its application to linear elastodynamics.
ISSN:0965-9978
DOI:10.1016/0965-9978(96)00003-8