In this contribution the reconstruction of crack shapes from experimental data acquired on a damaged test plate at eddy current frequencies is performed by means of two different zero-order iterative optimization methods: the Genetic Algorithm (GA) and the Clonal Selection Algorithm for Topology Optimization (TOPCSA). A comparison of the performances of the algorithms on ECT experimental data shows the superior behavior of the TOPCSA with respect to the one of the GA.
Crack shape reconstruction from ECT using topology constrained optimization (TOPCSA) algorithms
TAMBURRINO, Antonello;VENTRE, Salvatore
2010-01-01
Abstract
In this contribution the reconstruction of crack shapes from experimental data acquired on a damaged test plate at eddy current frequencies is performed by means of two different zero-order iterative optimization methods: the Genetic Algorithm (GA) and the Clonal Selection Algorithm for Topology Optimization (TOPCSA). A comparison of the performances of the algorithms on ECT experimental data shows the superior behavior of the TOPCSA with respect to the one of the GA.File in questo prodotto:
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