An algorithmic framework for flexible finite element-based structural modeling

A framework is presented that provides new levels of computational flexibility for general finite element-based structural modeling. The approach is based on object-oriented programming methods in which the classes defining the framework represent both traditional and non-traditional finite element...

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Bibliographic Details
Published in:	Computer methods in applied mechanics and engineering Vol. 136; no. 3; pp. 363 - 384
Main Authors:	Rucki, Michael D., Miller, Gregory R.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 25-09-1996 Elsevier
Subjects:	Exact sciences and technology Fundamental areas of phenomenology (including applications) Physics Solid mechanics Static elasticity Static elasticity (thermoelasticity...) Structural and continuum mechanics Finite element method Numerical method Algorithms Flexible structure Object oriented Structural analysis
Online Access:	Get full text
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Summary:	A framework is presented that provides new levels of computational flexibility for general finite element-based structural modeling. The approach is based on object-oriented programming methods in which the classes defining the framework represent both traditional and non-traditional finite element modeling abstractions. The framework supports a wide range of algorithmic methods and techniques: degree of freedom- and element-based, iterative and direct algorithms are accommodated for solving linear and non-linear problems in static and dynamic contexts. In order to adapt the solution to factors including the modeling assumptions, the required levels of efficiency and accuracy, and variations in a model in space and over time, algorithms can be selected and changed dynamically, and distinct algorithms can be used in different parts of a model. An evaluation of the framework using various criteria shows that in addition to enabling new kinds of efficiencies, it exhibits performance comparable to traditional implementations in executing fundamental computations.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0045-7825 1879-2138
DOI:	10.1016/0045-7825(96)01094-8