A damage detection study of a bridge using bypassing vehicles and computational intelligence
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1002/pamm.201900301
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2019
- Creator
-
Hesser, Daniel Frank
Bamer, Franz
Markert, Bernd
- DOI
-
10.18154/RWTH-2020-06251
- URN
-
urn:nbn:de:101:1-2021032316551129057451
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hesser, Daniel Frank
- Bamer, Franz
- Markert, Bernd
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2019
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Linking structural defects to the damage behaviour of 3D-printed metallic glasses
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Anomaly and damage detection for structural health monitoring based on computational intelligence
Auto-correlation-function-based damage index for damage detection and system identification
A thermodynamically consistent anisotropic damage model for metallic glasses
Linking structural defects to the damage behaviour of 3D-printed metallic glasses
Structural damage detection using auto correlation functions of vibration response under sinusoidal excitation
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