Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview

Mishnaevsky, Leon

doi:10.3390/ma15092959

Cited by 52 publications

(27 citation statements)

References 117 publications

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“…One of the most serious types of failures is a wind turbine malfunction caused by the damage to the wind turbine blades [2] [3]. While wind turbine blades can fail in a multitude of ways, in most of the cases, the presence of moisture can either cause or accelerate the damage [4]. While not all damage can be prevented by use of health monitoring systems, the consequences of such damage can be diminished when detected early.…”

Section: Introductionmentioning

confidence: 99%

Detection of moisture-related damage in GFRP composites using hyperspectral imaging

Długosz

Dao

Staszewski

et al. 2023

Health Monitoring of Structural and Biological Systems XVII

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Damage detection in glass-fibre reinforced polymer(GFRP) structures, such as blades of wind turbines, is a challenging task to achieve using most of conventional methods used in Structural Health Monitoring (SHM). The primary cause of this issue is the relatively high internal damping of the material. Vision based methods however circumvent this issue. Among those methods hyperspectral imaging (HSI), a technique in which an image is recorded in a broad spectrum of electromagnetic radiation, has been proven to be a valuable tool for this purpose. Because of the high spectral resolution, hyperspectral images contain information about the chemical composition of the object being scanned. In this study, the chemical data contained in the hyperspectral images of GFRP samples is used as a basis for detection of presence of moisture-related damages. The aim of this study is to develop an algorithm allowing for detection of moisturerelated damage in GFRP structures. The algorithm utilizes the interaction of light with moisture through the phenomenon of absorption, cointegration analysis as a denoising and detrending tool, and machine learning methods for the purpose of classification. The results of proposed algorithm are evaluated and its applicability for the purpose of SHM is assessed.

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Section: Introductionmentioning

confidence: 99%

Detection of moisture-related damage in GFRP composites using hyperspectral imaging

Długosz

Dao

Staszewski

et al. 2023

Health Monitoring of Structural and Biological Systems XVII

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“…Wind turbine blades suffer from many forms of damage. 1,2 One of them is leading edge erosion that causes roughness forming on the surface of the blade. The main mechanisms and parameters that govern leading edge erosion are stated in the work by Mishnaevsky Jr. et al 3 Leading edge roughness influences the aerodynamic performance of the blade, causing energy production losses.…”

Section: Introductionmentioning

confidence: 99%

“…Wind turbine blades suffer from many forms of damage 1,2 . One of them is leading edge erosion that causes roughness forming on the surface of the blade.…”

Section: Introductionmentioning

confidence: 99%

Erosion modelling on reconstructed rough surfaces of wind turbine blades

Tempelis,

Mishnaevsky Jr.

2023

Wind Energy

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Numerical simulations of rain droplet impacts on real rough surfaces of leading edges of wind turbine blades are presented. The effect of rough blade surface conditions during liquid impacts on the stress distribution in the protective coating is studied. Realistic rough surfaces of wind turbine blades, obtained from 3D reconstruction of real blades with photogrammetry, as well as artificially generated rough surfaces were introduced into finite element models of the droplet/blade coating interaction. Stress distributions in the protective coating with rough and flat surfaces were studied and compared. The results of the simulations suggest that roughness on the surface of the blade leads to increased stresses in the protective coating.

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“…Wind turbine blades contain numerous interfaces and are one of the most critical locations for failure [1]. Thus, it is of great importance to be able to test and model the interface strength (fracture toughness) to be used in the blade design.…”

Section: Introductionmentioning

confidence: 99%

Mode mixity for the fracture toughness obtained by climbing drum peel tests

Jespersen,

Toftegaard

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Wind turbine blades include numerous interfaces, which are known to be critical regions for early failure. Thus, reliable testing of interfaces and a solid understanding of the tests used are of utmost importance. The climbing drum peel (CDP) test is a standardized test for characterization of adhesively bonded interfaces, which in literature has been referred to as a possible simple alternative to mode I double cantilever beam testing of composites. The current work uses finite element modeling of the CDP setup to show that it is actually a mixed mode test, and therefore one cannot use it to obtain the mode I fracture toughness. It can, however, be used to compare different interfaces, keeping in mind that the comparison is done for a mode mixity of approximately 40°, and that one adherend has to be thin (around 0.5mm).

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Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview

Cited by 52 publications

References 117 publications

Detection of moisture-related damage in GFRP composites using hyperspectral imaging

Detection of moisture-related damage in GFRP composites using hyperspectral imaging

Erosion modelling on reconstructed rough surfaces of wind turbine blades

Mode mixity for the fracture toughness obtained by climbing drum peel tests

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