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A neural network-based air-coupled ultrasonic damage detection method for composite honeycomb sandwich structure

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In
Mechanical systems and signal processing : mssp 233, Seiten/Artikel-Nr.:112789

ImpressumAmsterdam [u.a.] : Elsevier

Umfang[1]-20

ISSN1096-1216

Online
DOI: 10.1016/j.ymssp.2025.112789


Einrichtungen

  1. Lehrstuhl und Institut für Strukturmechanik und Leichtbau (415610)


Thematische Einordnung (Klassifikation)
DDC: 004


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105003662221
WOS Core Collection: WOS:001494084300001

Interne Identnummern
RWTH-2025-05221
Datensatz-ID: 1012859

Beteiligte Länder
Germany, Peoples R China

 GO


Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
415610

 Record created 2025-06-10, last modified 2025-06-11



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