Coronavirus Information for the UC San Diego Community

Our leaders are working closely with federal and state officials to ensure your ongoing safety at the university. Stay up to date with the latest developments. Learn more.

Passive structural monitoring based on data-driven matched field processing

TitlePassive structural monitoring based on data-driven matched field processing
Publication TypeJournal Article
Year of Publication2019
AuthorsLubeigt E., Rakotonarivo S., Mensah S., Chaix J.F, Baque F., Kuperman WA
Volume145
PaginationEL317-EL322
Date Published2019/04
Type of ArticleArticle
ISBN Number0001-4966
Accession NumberWOS:000466779100009
Keywordsacoustics; Audiology & Speech-Language Pathology
Abstract

A passive data-driven method to localize a defect in a structure using the ambient noise is derived. The approach requires only acoustic measurements in a spatially random noise field and no knowledge of the structure. Measurements are taken before and after the perturbation has occurred and Green's functions are retrieved by cross-correlating acoustic measurements. The difference between measured data reveals the perturbation. A frequency domain method based on matched field processing is then performed to localize the perturbation. The Bartlett, minimum variance and white noise gain constraint processors are implemented and their performances are illustrated on a numerical experiment. (C) 2019 Acoustical Society of America

DOI10.1121/1.5099170
Student Publication: 
No
Research Topics: