Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications

Richard Loendersloot, Martijn Venterink, Anna Krause, Francisco Lahuerta

Research output: Contribution to conferenceOtherAcademic

19 Downloads (Pure)

Abstract

Monitoring of wind turbine components is more and more important to guarantee a safe and efficient operation of these systems, in particular when off-shore wind turbines are considered. Fatigue is a dominant failure mechanism and therefore a critical design parameter. Earlier research of the authors revealed that one of the critical components in a wind turbine blade is the spar cap. Failure of it is detrimental for the functioning of the wind turbine and can lead to an accumulation of failures and to an increase in the wind turbine operation and maintenance cost. Fatigue is often detected based on a stiffness reduction of the component. A common problem observed in monitoring systems based on stiffness reduction is that the damage accumulates without causing an observable change of stiffness. As a result, the response time between stiffness drop and component failure is relatively short. An alternative monitoring method, based on acousto-ultrasonics (AU) is proposed, allowing for damage accumulation monitoring. The method is based on the Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) as applied to thin-walled (composite) structures to identify damages such as cracks and delaminations. The suitability of this damage identification method for a thick-walled glass fibre beam, representing a spar cap, was tested by the authors. Based on the positive outcome, a similar beam was equipped with eight piezo-electric transducers and subjected to a three-point bending fatigue test. The bending stiffness is measured using the force and displacement of the test bank and at regular intervals, an AU measurement is executed. In a mutual comparison of the measurements, it is shown that the AU measurements are sensitive to damage accumulation, whereas the stiffness measurement is not. The newly proposed method thus allows for a much earlier warning of imminent failure and can be used for prognostics and improved maintenance planning.
Original languageEnglish
Number of pages12
Publication statusPublished - 10 Jul 2018
Event9th European Workshop on Structural Health Monitoring, EWSHM 2018 - Hilton Manchester Deansgate, Manchester, United Kingdom
Duration: 10 Jul 201813 Jul 2018
Conference number: 9

Conference

Conference9th European Workshop on Structural Health Monitoring, EWSHM 2018
Abbreviated titleEWSHM 2018
CountryUnited Kingdom
CityManchester
Period10/07/1813/07/18

Fingerprint

Wind turbines
Ultrasonics
Stiffness
Monitoring
Composite materials
Ultrasonic measurement
Bending (deformation)
Fatigue of materials
Offshore wind turbines
Turbine components
Piezoelectric transducers
Composite structures
Delamination
Glass fibers
Turbomachine blades
Inspection
Cracks
Planning
Costs

Keywords

  • wind turbine
  • acousto-ultrasonic
  • damage accumulation
  • thick composite

Cite this

Loendersloot, R., Venterink, M., Krause, A., & Lahuerta, F. (2018). Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications. 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom.
Loendersloot, Richard ; Venterink, Martijn ; Krause, Anna ; Lahuerta, Francisco. / Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications. 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom.12 p.
@conference{2479fc207bb94b17a2445a5121bdd55a,
title = "Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications",
abstract = "Monitoring of wind turbine components is more and more important to guarantee a safe and efficient operation of these systems, in particular when off-shore wind turbines are considered. Fatigue is a dominant failure mechanism and therefore a critical design parameter. Earlier research of the authors revealed that one of the critical components in a wind turbine blade is the spar cap. Failure of it is detrimental for the functioning of the wind turbine and can lead to an accumulation of failures and to an increase in the wind turbine operation and maintenance cost. Fatigue is often detected based on a stiffness reduction of the component. A common problem observed in monitoring systems based on stiffness reduction is that the damage accumulates without causing an observable change of stiffness. As a result, the response time between stiffness drop and component failure is relatively short. An alternative monitoring method, based on acousto-ultrasonics (AU) is proposed, allowing for damage accumulation monitoring. The method is based on the Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) as applied to thin-walled (composite) structures to identify damages such as cracks and delaminations. The suitability of this damage identification method for a thick-walled glass fibre beam, representing a spar cap, was tested by the authors. Based on the positive outcome, a similar beam was equipped with eight piezo-electric transducers and subjected to a three-point bending fatigue test. The bending stiffness is measured using the force and displacement of the test bank and at regular intervals, an AU measurement is executed. In a mutual comparison of the measurements, it is shown that the AU measurements are sensitive to damage accumulation, whereas the stiffness measurement is not. The newly proposed method thus allows for a much earlier warning of imminent failure and can be used for prognostics and improved maintenance planning.",
keywords = "wind turbine, acousto-ultrasonic, damage accumulation, thick composite",
author = "Richard Loendersloot and Martijn Venterink and Anna Krause and Francisco Lahuerta",
year = "2018",
month = "7",
day = "10",
language = "English",
note = "9th European Workshop on Structural Health Monitoring, EWSHM 2018, EWSHM 2018 ; Conference date: 10-07-2018 Through 13-07-2018",

}

Loendersloot, R, Venterink, M, Krause, A & Lahuerta, F 2018, 'Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications' 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom, 10/07/18 - 13/07/18, .

Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications. / Loendersloot, Richard ; Venterink, Martijn ; Krause, Anna; Lahuerta, Francisco.

2018. 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom.

Research output: Contribution to conferenceOtherAcademic

TY - CONF

T1 - Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications

AU - Loendersloot, Richard

AU - Venterink, Martijn

AU - Krause, Anna

AU - Lahuerta, Francisco

PY - 2018/7/10

Y1 - 2018/7/10

N2 - Monitoring of wind turbine components is more and more important to guarantee a safe and efficient operation of these systems, in particular when off-shore wind turbines are considered. Fatigue is a dominant failure mechanism and therefore a critical design parameter. Earlier research of the authors revealed that one of the critical components in a wind turbine blade is the spar cap. Failure of it is detrimental for the functioning of the wind turbine and can lead to an accumulation of failures and to an increase in the wind turbine operation and maintenance cost. Fatigue is often detected based on a stiffness reduction of the component. A common problem observed in monitoring systems based on stiffness reduction is that the damage accumulates without causing an observable change of stiffness. As a result, the response time between stiffness drop and component failure is relatively short. An alternative monitoring method, based on acousto-ultrasonics (AU) is proposed, allowing for damage accumulation monitoring. The method is based on the Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) as applied to thin-walled (composite) structures to identify damages such as cracks and delaminations. The suitability of this damage identification method for a thick-walled glass fibre beam, representing a spar cap, was tested by the authors. Based on the positive outcome, a similar beam was equipped with eight piezo-electric transducers and subjected to a three-point bending fatigue test. The bending stiffness is measured using the force and displacement of the test bank and at regular intervals, an AU measurement is executed. In a mutual comparison of the measurements, it is shown that the AU measurements are sensitive to damage accumulation, whereas the stiffness measurement is not. The newly proposed method thus allows for a much earlier warning of imminent failure and can be used for prognostics and improved maintenance planning.

AB - Monitoring of wind turbine components is more and more important to guarantee a safe and efficient operation of these systems, in particular when off-shore wind turbines are considered. Fatigue is a dominant failure mechanism and therefore a critical design parameter. Earlier research of the authors revealed that one of the critical components in a wind turbine blade is the spar cap. Failure of it is detrimental for the functioning of the wind turbine and can lead to an accumulation of failures and to an increase in the wind turbine operation and maintenance cost. Fatigue is often detected based on a stiffness reduction of the component. A common problem observed in monitoring systems based on stiffness reduction is that the damage accumulates without causing an observable change of stiffness. As a result, the response time between stiffness drop and component failure is relatively short. An alternative monitoring method, based on acousto-ultrasonics (AU) is proposed, allowing for damage accumulation monitoring. The method is based on the Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) as applied to thin-walled (composite) structures to identify damages such as cracks and delaminations. The suitability of this damage identification method for a thick-walled glass fibre beam, representing a spar cap, was tested by the authors. Based on the positive outcome, a similar beam was equipped with eight piezo-electric transducers and subjected to a three-point bending fatigue test. The bending stiffness is measured using the force and displacement of the test bank and at regular intervals, an AU measurement is executed. In a mutual comparison of the measurements, it is shown that the AU measurements are sensitive to damage accumulation, whereas the stiffness measurement is not. The newly proposed method thus allows for a much earlier warning of imminent failure and can be used for prognostics and improved maintenance planning.

KW - wind turbine

KW - acousto-ultrasonic

KW - damage accumulation

KW - thick composite

M3 - Other

ER -

Loendersloot R, Venterink M, Krause A, Lahuerta F. Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications. 2018. 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom.