Abstract
Computational analysis has become an essential tool for the evaluation of designs for complex engineering products, and engineers are using more analysis applications to model a wider range of product behaviour than ever before. Existing technology is unable to offer effective solutions for the management and integration of either the applications themselves or the information they use and create. This is in part due to an inadequate understanding of the engineering analysis process.
In order to facilitate the construction of more automated analysis systems with reduced dependence on specialized data formats, it is necessary to better understand how existing analysis applications use and generate information and what their common (and hence potentially shareable) elements are.
We present a discussion of the concepts of computational analysis and its use within the engineering design process. The design of gas turbine rotor blades is used to illustrate the wide range of analyses that need to be supported within mechanical engineering, and analyses for the calculation of stress and strain values for these blades are used to exemplify the roles of the primary concepts involved.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Suh, N.P. (1990) The Principles of Design, Oxford University Press, New York
Rothman, M.A. (1966) The Laws of Physics, Penguin Books, Harmondsworth, Middlesex, UK
Tomiyama, T.; Kiriyama, T.; Takeda, H.; Xue, D. (1989) Metamodel: a key to intelligent CAD systems, Res. Eng. Des., 1, 19–34
Tworzydlo, W.W.; Oden, J.T. (1993) Towards an automated environment in computational mechanics, Comp. Meth. Appl. Mech. Eng., 104, 87–143
Szabó, B.A. (1989) On errors of idealization in finite element analysis of structural connections, in Adaptive Methods for Partial Differential Equations, J.E. Flaherly, P.J. Paslow, M.S. Shephard, J.D. Vasilakis (Editors), Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania
Shephard, M.S.; Bachmann, P.L.; Georges, M.K.; Korngold, E.V. (1990) Framework for the reliable generation and control of analysis idealizations, Comp. Meth. Appl. Mech. Eng., 82, 257–280
Marca, D.A.; McGowan, C.L. (1988) SADT-Structured Analysis and Design Technique McGraw-Hill, New York
de Kleer, J.; Brown, J.S. (1984) A qualitative physics based on confluences, Artif. Intell., 24, 7–83
Dym, C.L.; Levitt, R.E. (1991) Knowledge-Based Systems in Engineering, McGraw-Hill, New York
Dym, C.L.; Levitt, R.E. (1991) Toward the integration of knowledge for engineering modeling and computation, Eng. Comput., 7, 209–224
International Organization for Standardization (1992) ISO 31-0:1992. Specification for quantities, units and symbols. Part 0. General principles
Timoshenko, S.P.; Goodier, J.N. (1970) Theory of Elasticity, 3rd edn, McGraw-Hill, New York
Mohr, G. A. (1992) Finite Elements for Solids, Fluids, and Optimization, Oxford University Press, New York
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Brooke, D.M., de Pennington, A. & Susan Bloor, M. An ontology for engineering analyses. Engineering with Computers 11, 36–45 (1995). https://doi.org/10.1007/BF01230443
Issue Date:
DOI: https://doi.org/10.1007/BF01230443