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Advanced crack tip field characterization using digital image correlation, machine learning, and integral evaluation

Melching, David and Strohmann, Tobias and Paysan, Florian and Requena, Guillermo and Breitbarth, Eric (2023) Advanced crack tip field characterization using digital image correlation, machine learning, and integral evaluation. International Conference on Fracture (ICF15), 11.-16. Juni 2023, Atlanta, GA, USA.

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Item URL in elib:https://elib.dlr.de/196775/
Document Type:Conference or Workshop Item (Speech)
Title:Advanced crack tip field characterization using digital image correlation, machine learning, and integral evaluation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Melching, DavidUNSPECIFIEDhttps://orcid.org/0000-0001-5111-6511UNSPECIFIED
Strohmann, TobiasUNSPECIFIEDhttps://orcid.org/0000-0002-9277-1376UNSPECIFIED
Paysan, FlorianUNSPECIFIEDhttps://orcid.org/0000-0001-5575-1002UNSPECIFIED
Requena, GuillermoUNSPECIFIEDhttps://orcid.org/0000-0001-5682-1404UNSPECIFIED
Breitbarth, EricUNSPECIFIEDhttps://orcid.org/0000-0002-3479-9143141405201
Date:2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:crack tip field, machine learning, fracture, fatigue
Event Title:International Conference on Fracture (ICF15)
Event Location:Atlanta, GA, USA
Event Type:international Conference
Event Dates:11.-16. Juni 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies, L - Structural Materials and Design
Location: Köln-Porz
Institutes and Institutions:Institute of Materials Research > Metallic Structures and Hybrid Material Systems
Deposited By: Melching, David
Deposited On:30 Aug 2023 09:02
Last Modified:30 Aug 2023 09:02

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