Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 106734 |
| Fachzeitschrift | Automation in Construction |
| Jahrgang | 182 |
| Frühes Online-Datum | 24 Dez. 2025 |
| Publikationsstatus | Veröffentlicht - Feb. 2026 |
Abstract
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Ingenieurwesen (insg.)
- Bauwesen
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in: Automation in Construction, Jahrgang 182, 106734, 02.2026.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
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TY - JOUR
T1 - Automated crack detection in axially loaded grouted connections of offshore wind turbines using embedded Fibre Bragg Grating sensor data
AU - Borgelt, Jakob Michael
AU - Possekel, Joshua
AU - Schaumann, Peter
AU - Ghafoori, Elyas
N1 - Publisher Copyright: © 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
PY - 2026/2
Y1 - 2026/2
N2 - Grouted connections are critical components in offshore wind turbine foundations subjected to cyclic axial loading. Understanding their fatigue degradation is essential for structural integrity. This paper presents an application of a frequency-based method for automated crack detection and evaluation in grouted connections using embedded Fibre Bragg Grating (FBG) sensors. The method identifies mechanical response reversal, from grout compression to elongation at load peaks, linked to crack initiation, using short-time Fourier transform (STFT) analysis of FBG signals. Validated through fatigue testing, it enables robust, automated, and spatially resolved crack detection throughout the fatigue life. Statistical evaluation revealed typical crack progression from outer regions towards central shear key levels. A correlation was found between crack formation and displacement behaviour, segmented into stable, incremental, and progressive degradation phases. Rapid displacement increases in the progressive phase occurred only after cracks formed across all shear key levels, offering insights for damage detection and monitoring strategies.
AB - Grouted connections are critical components in offshore wind turbine foundations subjected to cyclic axial loading. Understanding their fatigue degradation is essential for structural integrity. This paper presents an application of a frequency-based method for automated crack detection and evaluation in grouted connections using embedded Fibre Bragg Grating (FBG) sensors. The method identifies mechanical response reversal, from grout compression to elongation at load peaks, linked to crack initiation, using short-time Fourier transform (STFT) analysis of FBG signals. Validated through fatigue testing, it enables robust, automated, and spatially resolved crack detection throughout the fatigue life. Statistical evaluation revealed typical crack progression from outer regions towards central shear key levels. A correlation was found between crack formation and displacement behaviour, segmented into stable, incremental, and progressive degradation phases. Rapid displacement increases in the progressive phase occurred only after cracks formed across all shear key levels, offering insights for damage detection and monitoring strategies.
KW - structural health monitoring
KW - Grouted connections
KW - Fibre Bragg Grating sensing
KW - Frequency analysis
KW - Fatigue
KW - Automated crack detection
KW - Offshore wind
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=105026656047&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2025.106734
DO - 10.1016/j.autcon.2025.106734
M3 - Article
VL - 182
JO - Automation in Construction
JF - Automation in Construction
SN - 0926-5805
M1 - 106734
ER -