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European Workshop on Case-Based Reasoning

EWCBR 1993: Topics in Case-Based Reasoning pp 379–391Cite as

A priori selection of mesh densities for adaptive finite element analysis, using a case-based reasoning approach

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 837))

Abstract

This paper describes the application of case-based reasoning (CBR) techniques to a complex domain, namely, mesh specification for finite element analysis. The case-base provides a high-level store of information extracted through CPU-intensive numerical error analysis of previously solved problems, making it available for mesh specification before the simulation of new similar problems. Using this information, a near-to-optimum mesh is specified as input to the simulation engine, avoiding time-consuming computation during simulation. The paper describes the system, case representation, organisation and retrieval, and compares the CBR approach with the more usual rule-based approaches to this application domain.

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Authors and Affiliations

  1. O'Reilly Institute, Trinity College, Hitachi Dublin Laboratory, Dublin 2, Ireland

    Neil Hurley

Authors
  1. Neil Hurley
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Editor information

Stefan Wess Klaus-Dieter Althoff Michael M. Richter

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© 1994 Springer-Verlag Berlin Heidelberg

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Hurley, N. (1994). A priori selection of mesh densities for adaptive finite element analysis, using a case-based reasoning approach. In: Wess, S., Althoff, KD., Richter, M.M. (eds) Topics in Case-Based Reasoning. EWCBR 1993. Lecture Notes in Computer Science, vol 837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58330-0_101

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  • DOI: https://doi.org/10.1007/3-540-58330-0_101

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58330-1

  • Online ISBN: 978-3-540-48655-8

  • eBook Packages: Springer Book Archive

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