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Tuesday, July 9 • 11:50 - 12:10

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Beamforming is a processing algorithm used to fusion information collected with an array of sen-sors to enhance signals generated by a discontinuity. This is done with an exhaustive searching of the workspace which typically requires considerable computational and time effort especially if this is used for guided wave application in health monitoring of long span structures. In this work, a beamforming algorithm based on a chaotic optimization search to improve time of detec-tion is discussed. The algorithm maps the workspace using an iterative technique of local opti-mum optimization search. This is implemented in two steps: first, a uniform random mapping is done to focus our search on specific regions; second, a chaotic walk search is carried out in those regions until a local optimum is found. Our proposed search model was numerical and experimen-tally studied assuming a disturbance source located on a thin aluminum plate. The discontinuity was an artificial 2mm through-hole. Lamb waves A0 and S0 modes were generated considering spectral regions with lower dispersion to reduce shape distortion of the propagated pulses. A linear sensor array of 8 small piezo discs to collect the reflected signals from the discontinuity was built. Numerical and experimental results with the proposed search algorithm were compared. A clear reduction in search time of signal source was found.

Tuesday July 9, 2019 11:50 - 12:10 EDT
Westmount 1

Attendees (7)