Title :
Identification of multiple cracks for electromagnetic nondestructive evaluation using virus evolutionary computation
Author :
Kojima, Fumio ; Yabuki, Hiroshi ; Kubota, Naoyuki
Author_Institution :
Kobe Univ., Japan
Abstract :
This paper is concerned with a computational method for identification of multiple cracks in a material using virus-evolutionary genetic algorithm (VEGA). We propose the method of applying the VEGA to an identification of multiple cracks. The mathematical model of the nondestructive evaluation (NDE) system is derived from the Maxwell´s equations. The admissible class of parameters is defined based on the primitive geometrical shape of cracks. The coding mechanism is given using the set of admissible parameter class. A computational method for identifying number of cracks and characterizing there geometrical shapes is proposed using the idea of VEGA.. Finally, the proposed algorithm is successfully tested for the computational experiment.
Keywords :
Maxwell equations; crack detection; genetic algorithms; GA; Maxwell equations; NDE; NDT; VEGA; electromagnetic nondestructive evaluation; multiple crack identification; virus evolutionary computation; virus-evolutionary genetic algorithm; Conducting materials; Evolutionary computation; Genetic algorithms; Magnetic flux; Magnetic materials; Mathematical model; Maxwell equations; SQUIDs; Shape; Testing;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196638