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Prediction of statistical force–displacement curves of Charpy-V impact tests based on unsupervised fracture surface machine learning

; ; ;

In
Engineering failure analysis 175, Seiten/Artikel-Nr.:109551

ImpressumOxford [u.a.] : Elsevier Science

Umfang[1]-18

ISSN1350-6307

Online
DOI: 10.1016/j.engfailanal.2025.109551

DOI: 10.18154/RWTH-2025-03792
URL: http://publications.rwth-aachen.de/record/1010012/files/1010012.pdf

Einrichtungen

  1. Lehrstuhl für Werkstoffmodellierung in der Umformtechnik (522520 ; 522510)
  2. Fachgruppe Materialwissenschaft und Werkstofftechnik (520000)


Thematische Einordnung (Klassifikation)
DDC: 600

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105000760390
WOS Core Collection: WOS:001457198500001

Interne Identnummern
RWTH-2025-03792
Datensatz-ID: 1010012

Beteiligte Länder
Germany

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; 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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Faculty of Georesources and Materials Engineering (Fac.5) > Division of Materials Science and Engineering
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520000
522520
 Record created 2025-04-14, last modified 2025-04-15
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