Localization of acoustic emission sources in geometrically sparse structures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F14%3A00438855" target="_blank" >RIV/61388998:_____/14:00438855 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Localization of acoustic emission sources in geometrically sparse structures
Original language description
Increasing safety demands are in recent years supported by integration of Structural Health Monitoring (SHM) systems into e.g. aircrafts, bridges or other civil structures including modern buildings. One of the highly effective early-warning methods is detection of acoustic emission (AE). The AE method is frequently exploited on geometrically very complicated structures, which needs sophisticated AE source location procedures. In this paper we discuss AE localization on typical latticed construction composed of interconnected girders. The utilization of artificial neural networks is compared with segmented localization based on the chronology of signal arrivals to selected groups of AE sensors in such ?geometrically sparse structures. Results obtainedwith both AE source localization methods are illustrated on real building experiment, where the primary roof truss was gradually loaded up to the final breakdown.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
31st Conference of the European Working Group on Acoustic Emission : EWGAE 2014
ISBN
978-3-940283-63-4
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
Deutsche Gesellschaft für Zerstörungsfreie Prüfung e.V
Place of publication
Berlín
Event location
Drážďany
Event date
Sep 3, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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