Intelligent computing in inverse problems

• Autorzy: Burczyński T. , Beluch W. , Długosz A. , Orantek P. , Skrobol A.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

intelligent computing; evolutionary algorithms; artificial neural networks; fuzzy inference system; computational intelligent system; finite element method; boundary element method

PL

sieć neuronowa; metoda elementów skończonych; metoda elementów brzegowych

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2006
• Tom: Vol. 13, No. 1
• Strony: 161--206
• Opis fizyczny: Bibliogr. 29 poz., rys., wykr.

Twórcy

autor

Burczyński T.

autor

Beluch W.

autor

Długosz A.

autor

Orantek P.

autor

Skrobol A.

• Department for Strength of Materials and Computational Mechanics Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Poland

Bibliografia

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