Uso das cadeias de Markov associado ao monitoramento da integridade estrutural baseado em impedância eletromecânica

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Universidade Federal de Goiás


There are several problems that can occur in components exposed to constant use and subjected to wear among the different types of structural components. Thus, in the last years it has been developed techniques able to monitor the health of the structures. In the last decades many non-destructive techniques have started to be used, among them we can mention the method of electromechanical impedance. This work proposes to present in the bibliographic review some basic concepts related to the main topics related to SHM (Structural Health Monitoring), such as smart materials, the different techniques, damage metrics and impedance analyzers. It will also be approached some techniques of classic optimization (random search) and bioinspired (bee colony algorithm and ant colony algorithm) that can be used to perform electromechanical impedance signals between damaged and non-damaged structures. Finally, it is presented the subject of Markov chains, a stochastic process, which a future state depends only on the present state and not on the other past states. The dissertation proposal is a case study (LEGO System) that aims to apply the concepts of electromechanical impedance, optimization and Markov chains for the monitoring of structural health in a defined system, and with this result, be able to provide data for a possible failure prediction. Concluding, it can realize the potentiality of the Markov chains associated to the electromechanical impedance method for monitoring and predicting future states.



Monitoramento da integridade estrutural, Materiais inteligentes, Impedância eletromecânica, Otimização, Cadeia de Markov, Structural health monitoring, Smart materials, Electromechanical impedance, Optimization, Markov chain


BENTO, J. P. M. Uso das cadeias de Markov associado ao monitoramento da integridade estrutural baseado em impedância eletromecânica. 2018. 118 f. Dissertação (Mestrado em Modelagem e Otimização) - Universidade Federal de Goiás, Catalão, 2018.