The paper discusses the results of an experiment research aimed at testing the effectiveness of genetic algorithms for structural damage identification. A reduced scale three-storey steel spatial frame was instrumented by a series of 12 accelerometers and progressively damaged by cutting one of its pillars just above the first storey. Acceleration measurements induced by ambient vibrations were recorded as the frame was progressively damaged, and the deepness of the cut was taken as the entity of the damage. After evaluating the modal properties of the steel frame through a neural network based approach, a genetic algorithm was employed and tested to identify the damaged areas. Results of the experimentation (where damage was known) were compared by the results of the optimization algorithm in order to verify its ability to match the actual damage.
Output-only damage identification on a reduced scale steel specimen by means of genetic algorithms / Luca Facchini; Michele Betti; Paolo Biagini. - XXI Congresso Nazionale AIMETA di Meccanica Teorica ed Applicata:(2013), pp. 1-10. (Intervento presentato al convegno XXI Congresso Nazionale AIMETA di Meccanica Teorica ed Applicata, AIMETA 2013 tenutosi a Torino nel 17-20 Settembre, 2013).
Output-only damage identification on a reduced scale steel specimen by means of genetic algorithms
FACCHINI, LUCA;BETTI, MICHELE;
2013
Abstract
The paper discusses the results of an experiment research aimed at testing the effectiveness of genetic algorithms for structural damage identification. A reduced scale three-storey steel spatial frame was instrumented by a series of 12 accelerometers and progressively damaged by cutting one of its pillars just above the first storey. Acceleration measurements induced by ambient vibrations were recorded as the frame was progressively damaged, and the deepness of the cut was taken as the entity of the damage. After evaluating the modal properties of the steel frame through a neural network based approach, a genetic algorithm was employed and tested to identify the damaged areas. Results of the experimentation (where damage was known) were compared by the results of the optimization algorithm in order to verify its ability to match the actual damage.File | Dimensione | Formato | |
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