Numerical simulation of lightning strike damage to wind turbine blades and validation against conducted current test data

Laudani, Antonio Andrea Maria; Vryonis, Orestis; Lewin, P.L.; Golosnoy, Igor O.; Kremer, Jochen; Klein, H.; Thomsen, Ole Thybo

doi:10.1016/j.compositesa.2021.106708

Cited by 6 publications

(2 citation statements)

References 58 publications

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“…The last question is related to the relevance of simulated lightning strike tests to composite structures. A lightning strike causes local damage to various types of composite structures, such as protected CFRP composites with expanded copper mesh, unprotected CFRP composites, composites with and without paint layers [24,29,30,[68][69][70][71][72][73][74], composites with vertically interleaved fibers [74], composites containing electrically conductive nanofillers [75][76][77][78] and single-walled CNT tuball paper [79], composites with conductive coatings [80,81], metal-tufted composites [82], thermoset and thermoplastic composites [50,83], sandwiched composites [84], stitched composites [85], scarf-repaired composites [2], composites with mechanical fasteners [27], and adhesively bonded composite [86], as well as full-scale composite structures, such as wind turbine blades [18,[87][88][89]. Although existing simulated lightning strike experimental studies for CFRP composites primarily focused on unprotected and protected composites and composites with mechanical fasteners, the other composite structures are also of significant importance.…”

Section: Laboratory Lightning Strike Testsmentioning

confidence: 99%

Challenges and Future Recommendations for Lightning Strike Damage Assessments of Composites: Laboratory Testing and Predictive Modeling

Wang,

Fan,

Zhupanska

2024

Materials

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Lightning strike events pose significant challenges to the structural integrity and performance of composite materials, particularly in aerospace, wind turbine blade, and infrastructure applications. Through a meticulous examination of the state-of-the-art methodologies of laboratory testing and damage predictive modeling, this review elucidates the role of simulated lightning strike tests in providing inputs required for damage modeling and experimental data for model validations. In addition, this review provides a holistic understanding of what is there, what are current issues, and what is still missing in both lightning strike testing and modeling to enable a robust and high-fidelity predictive capability, and challenges and future recommendations are also presented. The insights gleaned from this review are poised to catalyze advancements in the safety, reliability, and durability of composite materials under lightning strike conditions, as well as to facilitate the development of innovative lightning damage mitigation strategies.

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Section: Laboratory Lightning Strike Testsmentioning

confidence: 99%

Challenges and Future Recommendations for Lightning Strike Damage Assessments of Composites: Laboratory Testing and Predictive Modeling

Wang,

Fan,

Zhupanska

2024

Materials

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“…The loading and environmental issues are much harder to circumvent. Some of these problems can be avoided in the early stages of designing GFRP structures, especially by supporting the design with the data gathered from already deployed structures and provided by simulations, which are able to obtain strikingly accurate results by the employment of improved simulation techniques [ 6 , 7 ]. While this process is vital to preventing the damage, operational conditions of GFRP structures can be unpredictable.…”

Section: Introductionmentioning

confidence: 99%

Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images

Długosz,

Dao,

Staszewski

et al. 2024

Sensors

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Hyperspectral imaging (HSI) is a remote sensing technique that has been successfully applied for the task of damage detection in glass fibre-reinforced plastic (GFRP) materials. Similarly to other vision-based detection methods, one of the drawbacks of HSI is its susceptibility to the lighting conditions during the imaging, which is a serious issue for gathering hyperspectral data in real-life scenarios. In this study, a data conditioning procedure is proposed for improving the results of damage detection with various classifiers. The developed procedure is based on the concept of signal stationarity and cointegration analysis, and achieves its goal by performing the detection and removal of the non-stationary trends in hyperspectral images caused by imperfect lighting. To evaluate the effectiveness of the proposed method, two damage detection tests have been performed on a damaged GFRP specimen: one using the proposed method, and one using an established damage detection workflow, based on the works of other authors. Application of the proposed procedure in the processing of a hyperspectral image of a damaged GFRP specimen resulted in significantly improved accuracy, sensitivity, and F-score, independently of the type of classifier used.

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Layered ultra-lightweight MXene based composite films for current conduction

Hou

Zhao

Liu

et al. 2022

Composites Part A: Applied Science and Manufacturing

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Numerical simulation of lightning strike damage to wind turbine blades and validation against conducted current test data

Cited by 6 publications

References 58 publications

Challenges and Future Recommendations for Lightning Strike Damage Assessments of Composites: Laboratory Testing and Predictive Modeling

Challenges and Future Recommendations for Lightning Strike Damage Assessments of Composites: Laboratory Testing and Predictive Modeling

Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images

Layered ultra-lightweight MXene based composite films for current conduction

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