Intelligent computing in inverse problems
Keywords:
intelligent computing (IC), evolutionary algorithms (EAs), artificial neural networks (ANNs), fuzzy inference system (FIS), computational intelligent system (CIS), finite element method (FEM), boundary element method (BEM)Abstract
This paper presents a review of intelligent computing techniques in solving inverse mechanics problems. These techniques are based on Evolutionary Algorithms (EAs) and the coupling of Evolutionary Algorithms (EAs) and Artificial Neural Networks (ANNs) in the form of Computational Intelligence Systems (CISs). The main attention was focused on the identification of the defects such as voids or cracks in structures on the basis of the knowledge about displacements, temperature and eigenfrequencies. The identification of the unknown number, position, size and kind of defects in the elastic structures is shown. The paper contains a lot of tests and numerical examples.
References
[2] J. Arabas. Lectures in Evolutionary Algorithms (in Polish). WNT, Warszawa, 2001.
[3] M. Bonnet, T. Burczyński, M. Nowakowski. Sensitivity analysis for shape perturbation of cavity or internal crack using BIE and adjoint variable approach. International Journal of Solids and Structures, 39: 2365-2385, 2002.
[4] T . Burczyński. The Boundary Elemenl Method In Mechanics WNT, Warszawa, 1995.
[5] T . Burczyński (ed). Computational Sensitivity Analysis and Evolutionary Optimization of Systems with Geometrical Singularities. ZN KWMiMKM, Gliwice, 2002.
Published
Issue
Section
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
