Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing

Mads A. Fremmelev; Purim Ladpli; Esben Orlowitz; Lars O. Bernhammer; Malcolm McGugan; Kim Branner

doi:10.1017/dce.2022.20

Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing

Mads A. Fremmelev^*, Purim Ladpli, Esben Orlowitz, Lars O. Bernhammer, Malcolm McGugan, Kim Branner

^*Corresponding author for this work

Siemens Gamesa Renewable Energy A/S

Research output: Contribution to journal › Journal article › Research › peer-review

155 Downloads (Pure)

Abstract

This work is concerned with damage detection in a commercial 52-meter wind turbine blade during fatigue testing. Different artificial damages are introduced in the blade in the form of laminate cracks. The lengths of the damages are increased manually, and they all eventually propagate and develop into delaminations during fatigue loading. Strain gauges, acoustic emission sensors, distributed accelerometers, and an active vibration monitoring system are used to track different physical responses in healthy and damaged states of the blade. Based on the recorded data, opportunities and limitations of the different sensing systems for blade structural health monitoring are investigated.

Original language	English
Article number	e22
Journal	Data-Centric Engineering
Volume	3
Number of pages	24
ISSN	2632-6736
DOIs	https://doi.org/10.1017/dce.2022.20
Publication status	Published - 2022

Keywords

Damage
Fatigue testing
Structural health monitoring
Wind turbine blades

Access to Document

10.1017/dce.2022.20Licence: CC BY

FulltextFinal published version, 3.22 MBLicence: CC BY

OpenUrl availability

Full text

Cite this

@article{1a3b0d6fae374c3e9080fb2776e97160,

title = "Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing",

abstract = "This work is concerned with damage detection in a commercial 52-meter wind turbine blade during fatigue testing. Different artificial damages are introduced in the blade in the form of laminate cracks. The lengths of the damages are increased manually, and they all eventually propagate and develop into delaminations during fatigue loading. Strain gauges, acoustic emission sensors, distributed accelerometers, and an active vibration monitoring system are used to track different physical responses in healthy and damaged states of the blade. Based on the recorded data, opportunities and limitations of the different sensing systems for blade structural health monitoring are investigated.",

keywords = "Damage, Fatigue testing, Structural health monitoring, Wind turbine blades",

author = "Fremmelev, {Mads A.} and Purim Ladpli and Esben Orlowitz and Bernhammer, {Lars O.} and Malcolm McGugan and Kim Branner",

year = "2022",

doi = "10.1017/dce.2022.20",

language = "English",

volume = "3",

journal = "Data-Centric Engineering",

issn = "2632-6736",

publisher = "Cambridge University Press",

}

TY - JOUR

T1 - Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing

AU - Fremmelev, Mads A.

AU - Ladpli, Purim

AU - Orlowitz, Esben

AU - Bernhammer, Lars O.

AU - McGugan, Malcolm

AU - Branner, Kim

PY - 2022

Y1 - 2022

N2 - This work is concerned with damage detection in a commercial 52-meter wind turbine blade during fatigue testing. Different artificial damages are introduced in the blade in the form of laminate cracks. The lengths of the damages are increased manually, and they all eventually propagate and develop into delaminations during fatigue loading. Strain gauges, acoustic emission sensors, distributed accelerometers, and an active vibration monitoring system are used to track different physical responses in healthy and damaged states of the blade. Based on the recorded data, opportunities and limitations of the different sensing systems for blade structural health monitoring are investigated.

AB - This work is concerned with damage detection in a commercial 52-meter wind turbine blade during fatigue testing. Different artificial damages are introduced in the blade in the form of laminate cracks. The lengths of the damages are increased manually, and they all eventually propagate and develop into delaminations during fatigue loading. Strain gauges, acoustic emission sensors, distributed accelerometers, and an active vibration monitoring system are used to track different physical responses in healthy and damaged states of the blade. Based on the recorded data, opportunities and limitations of the different sensing systems for blade structural health monitoring are investigated.

KW - Damage

KW - Fatigue testing

KW - Structural health monitoring

KW - Wind turbine blades

U2 - 10.1017/dce.2022.20

DO - 10.1017/dce.2022.20

M3 - Journal article

SN - 2632-6736

VL - 3

JO - Data-Centric Engineering

JF - Data-Centric Engineering

M1 - e22

ER -

Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing

Abstract

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this