Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: 10.1371/journal.pone.0216493
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2019
- Urheber
-
Kusche, Carl F.
Reclik, Tom
Freund, Martina
Al-Samman, Talal
Kerzel, Ulrich
Korte-Kerzel, Sandra
- DOI
-
10.18154/RWTH-2019-10367
- URN
-
urn:nbn:de:101:1-2021101806374933334068
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Kusche, Carl F.
- Reclik, Tom
- Freund, Martina
- Al-Samman, Talal
- Kerzel, Ulrich
- Korte-Kerzel, Sandra
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2019
Ähnliche Objekte (12)
Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning
Global and High-Resolution Damage Quantification in Dual-Phase Steel Bending Samples with Varying Stress States
On the automated characterisation of inclusion-induced damage in 16MnCrS5 case-hardening steel
SSRM characterisation of FIB induced damage in silicon
High-resolution Radar Based Object Classification for Automotive Applications
Predicting snow damage in conifer forests using a mechanistic snow damage model and high-resolution snow accumulation data
Multiscale investigation of ductile damage in dual phase steels
Characterisation of nanoparticles by means of high-resolution SEM/EDS in transmission mode
Damage Evolution in Nakajima Tests of DP800 Dual Phase Steel
3D Nonlocal Damage Modeling for Steel Structures under Earthquake Loading
Damage Segmentation on High-Resolution Coating Images Using a Novel Two-Stage Network Pipeline
Damage Evolution of High Chromium Steels Utilised for High Temperature Components
Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning
Global and High-Resolution Damage Quantification in Dual-Phase Steel Bending Samples with Varying Stress States
On the automated characterisation of inclusion-induced damage in 16MnCrS5 case-hardening steel
SSRM characterisation of FIB induced damage in silicon
High-resolution Radar Based Object Classification for Automotive Applications
Predicting snow damage in conifer forests using a mechanistic snow damage model and high-resolution snow accumulation data
Multiscale investigation of ductile damage in dual phase steels
Characterisation of nanoparticles by means of high-resolution SEM/EDS in transmission mode
Damage Evolution in Nakajima Tests of DP800 Dual Phase Steel
3D Nonlocal Damage Modeling for Steel Structures under Earthquake Loading
Damage Segmentation on High-Resolution Coating Images Using a Novel Two-Stage Network Pipeline
Damage Evolution of High Chromium Steels Utilised for High Temperature Components
Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning
Global and High-Resolution Damage Quantification in Dual-Phase Steel Bending Samples with Varying Stress States
On the automated characterisation of inclusion-induced damage in 16MnCrS5 case-hardening steel
SSRM characterisation of FIB induced damage in silicon
High-resolution Radar Based Object Classification for Automotive Applications
Predicting snow damage in conifer forests using a mechanistic snow damage model and high-resolution snow accumulation data
Multiscale investigation of ductile damage in dual phase steels
Characterisation of nanoparticles by means of high-resolution SEM/EDS in transmission mode
Damage Evolution in Nakajima Tests of DP800 Dual Phase Steel
3D Nonlocal Damage Modeling for Steel Structures under Earthquake Loading
Damage Segmentation on High-Resolution Coating Images Using a Novel Two-Stage Network Pipeline