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

Annamaria Pau*, Ugurcan Eroglu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationTheoretical and Applied Mechanics - Proceedings of the 25th AIMETA conference hosted by the Italian Association of Theoretical and Applied Mechanics in Palermo, AIMETA 2022
EditorsMario Di Paola, Livan Fratini, Fabrizio Micari, Antonina Pirrotta
PublisherAssociation of American Publishers
Pages455-460
Number of pages6
ISBN (Print)9781644902424
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event25th Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2022 - Palermo, Italy
Duration: 4 Sept 20228 Sept 2022

Publication series

NameMaterials Research Proceedings
Volume26
ISSN (Print)2474-3941
ISSN (Electronic)2474-395X

Conference

Conference25th Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2022
Country/TerritoryItaly
CityPalermo
Period4/09/228/09/22

Bibliographical note

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

Keywords

  • Damage Identification
  • Inverse Problems
  • Modal Curvatures

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