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Descripción
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| The changes in the strain ?eld may be very intense at the tip of a crack, but smooth out very quickly. So trying to get information about damage occurrence from strain measurements is a di?cult task, as the detected strain changes may be very small, and masked by temperature drifting, load changes or any other environmental factor. Of course the larger the damage and the proximity to the sensor, the higher the probability to be detected. It drives to the need to include a large sensors array into the structure, which is not a di?cult when using optical ?ber sensors, but then the data treatment has to be done in a fully automated approach, an algorithm is needed to compare and extract information from the multiple strain measurements. Experiments are done on a simple cantilever beam, instrumented with 32 sensors and submitted to loads and progressive damage conditions. Algorithms based on Principal Component Analysis (PCA) show to be simple and robust enough for this task. The same approach is being applied to a more complex structure, the wing of a UAV, the results are presented and discussed. | |
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Internacional
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Si |
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Nombre congreso
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8th International Aerospace Supply Fair AIRTEC 2013 |
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Tipo de participación
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960 |
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Lugar del congreso
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Frankfurt, Alemania |
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Revisores
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Si |
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ISBN o ISSN
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0002-2667 |
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DOI
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Fecha inicio congreso
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28/10/2013 |
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Fecha fin congreso
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30/10/2013 |
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Desde la página
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1 |
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Hasta la página
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17 |
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Título de las actas
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Proceedings of the 8th International Aerospace Supply Fair AIRTEC 2013 |