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Multi-objective sensor placement optimization in helicopter main rotor blade considering the number of sensors and mode shape interpolation
Felipe Mello, João Pereira, Guilherme Gomes
Session: Poster pitches day 1
Session starts: Monday 26 June, 09:50
Presentation starts: 09:50



Felipe Mello ()
João Pereira ()
Guilherme Gomes (Universidade Federal de Itajubá)


Abstract:
Sensor location optimization plays a key role in the application and development of structural integrity monitoring methodologies, especially in large mechanical structures. Given the existence of an effective damage detection and identification procedure, the problem arises of how many and how the acquisition points (sensors) should be placed so that the efficiency is maximum in the monitoring system. In this study, an innovative methodology is proposed in order to maximize the quality of modal information and minimize the number of sensors in SHM system. On maximizing the quality of modal information, it considered the reconstruction of mode shapes using kriging interpolation. The study was carried out on plate-type composite material structures for initial validation and later applied and validated on a main rotor blade of the AS-350 helicopter. The initial modal information (modal deformation) was obtained through the finite element method and the multi-objective Lichtenberg algorithm was used in the complex optimization process. The proposed method presented in this work allows distributing a minimum and sufficient amount of acquisition points in a structure in the best possible way in order to obtain more modal information for a better modal reconstruction from a kriging interpolation of these minimum points. Numerical examples and test results show that the proposed method is robust and effective to distribute a reduced number of sensors in a structure and at the same time guarantee the quality of the information obtained. The results also indicate that the modal configuration obtained by multi-objective optimization does not become trivial when a set of modes is used in the construction of the objective function. This strategy is an advantage in experimental modal analysis tests, as it is only necessary to acquire signals at a limited number of points, saving time and operating costs in vibration-based processes.