Liborio Puccio
Optical sensors network for structural health monitoring.
Rel. Paolo Maggiore, Matteo Davide Lorenzo Dalla Vedova, Gaetano Quattrocchi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2022
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Abstract
The main goal of this thesis is to develop a methodology to collect and analyze large number of data coming from CFD and FEM simulations, in order to build an optical sensors network whose purpose is to monitor structural loads for future prognostic applications and for real-time monitoring. In this case study, the method will be applied to a solar panel powered UAV prototype developed by the ICARUS Team, which is very suitable for experimental purposes and could greatly benefit from this methodology, not only for structural health monitoring but also for indirect monitoring on other systems. Smart structures provide many advantages in maintenance, both in terms of inspection time needed and costs.
Fiber Bragg Grating (FBG) sensors will be used for this application, produced in collaboration with Photonext Team
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