The minimum variance distortionless response beamformer for damage identification using modal curvatures

Annamaria Pau*, Ugurcan Eroglu

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Özet

This study presents a damage identification procedure in beams based on the use of beamforming algorithms, which are mostly utilized in inverse problems of source identification and image reconstruction. We choose the modal curvatures as observed quantities and compare the performance of the Bartlett beamformer, minimum variance distortionless response (MVDR) processor, and of a conventional objective function based on the modal curvatures. By means of a set of experiments, we show that the MVDR processor can overcome some of the difficulties encountered with other estimators, especially in cases of slight damage, or damage located between two sensors.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıTheoretical and Applied Mechanics - Proceedings of the 25th AIMETA conference hosted by the Italian Association of Theoretical and Applied Mechanics in Palermo, AIMETA 2022
EditörlerMario Di Paola, Livan Fratini, Fabrizio Micari, Antonina Pirrotta
YayınlayanAssociation of American Publishers
Sayfalar455-460
Sayfa sayısı6
ISBN (Basılı)9781644902424
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet
Etkinlik25th Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2022 - Palermo, Italy
Süre: 4 Eyl 20228 Eyl 2022

Yayın serisi

AdıMaterials Research Proceedings
Hacim26
ISSN (Basılı)2474-3941
ISSN (Elektronik)2474-395X

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???event.eventtypes.event.conference???25th Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2022
Ülke/BölgeItaly
ŞehirPalermo
Periyot4/09/228/09/22

Bibliyografik not

Publisher Copyright:
© 2023, Association of American Publishers. All rights reserved.

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