Structural integrity assessment of fixed support structures for offshore wind turbines: A review

Yeter, Baran; Garbatov, Y.

doi:10.1016/j.oceaneng.2021.110271

Cited by 27 publications

(11 citation statements)

References 109 publications

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“…However, the variation in the data’s regression speed is still small in this experimental model without being clearly shown in the statuses of different disabilities under the progressive level. This result is completely consistent with many studies, 5,8,9,44 where cuts on the beam structure were made to indicate the structure’s defect-bearing status as being completely inappropriate. Obviously, many defects still exist in the case of implementing the experiment to evaluate structural damage through the cutting model.…”

Section: Results and Commentssupporting

confidence: 90%

“…Of many different assumptions, the most important is that the defects in a model will cause the beam's force-bearing capacity to be directly affected. The defects will then change either the dimensions or the geometry of the structure, [7][8][9] or the structure will change internally through changes in the material's mechanical properties. [10][11][12][13] Researchers often demonstrate defects using the crack model implemented in the laboratory, 1,2,14,15 with shapes of geometrical cuts, such as cutting, cross-cutting, longitudinal cutting, and depth cutting, or changes of the cutting geometry, 16,17 such as circular cutting, oval cutting, and oblique cutting.…”

Section: Introductionmentioning

confidence: 99%

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Structural health monitoring based on the cumulative function and cumulative circle of a defective beam under a moving load

Nguyen

2022

Journal of Low Frequency Noise, Vibration and Active Control

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A defective structure has been evaluated and identified in beam models’ deflection measurement signals in much research. However, many results have not been optimally exploited and evaluated to find new parameters for data excavation. This manuscript proposes a cumulative welding model and a cumulative circle of deflection signals for a defective beam under the impact of a moving force. Based on this evaluation model, the manuscript recognizes that the speed of the moving force will determine the regression speed of the received datasets, which is considered the basis for showing the working ability of a beam structure with defects. Moreover, the structure’s cumulative regression circle also shows its resilience in that structure after the impact of the load. The development of defects in the structure will depend on both the structure’s level and resilience after each bearing-load cycle. Our research has shown us that the method of evaluation and use of both the cumulative model and cumulative circle from the deflection’s measured value have yielded more results compared to the previous method. This research can evaluate many defects in different situations while simultaneously evaluating many types of structures.

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Section: Results and Commentssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Structural health monitoring based on the cumulative function and cumulative circle of a defective beam under a moving load

Nguyen

2022

Journal of Low Frequency Noise, Vibration and Active Control

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“…Rather, it is necessary to assess the total accumulation of the fatigue damages over the project life and quantifying residual life. 40 And (ii), due to data availability (or better said, the lack thereof), specifically accelerometer installation, no farm-wide employment of the methodologies developed for fatigue load estimation on the substructure on one or a couple of turbines has been presented for a real-world case involving a full farm. Point (i) has been addressed in de N Santos et al 5 (an extension of de N Santos et al 26 ), where there is a rescaling and accumulation of fatigue loads and damages undertook for two real-world turbines over 2 years.…”

Section: Fatigue Monitoringmentioning

confidence: 99%

“…However, if this research is to effectively pass from a proof‐of‐concept phase to industry‐wide acceptance, two fundamental issues have to be addressed: (i) the vast majority of the research still concerns itself with 10‐min level predictive capacity of fatigue loads/damage; however, fatigue life assessment is not performed based on a 10‐min basis. Rather, it is necessary to assess the total accumulation of the fatigue damages over the project life and quantifying residual life 40 . And (ii), due to data availability (or better said, the lack thereof), specifically accelerometer installation, no farm‐wide employment of the methodologies developed for fatigue load estimation on the substructure on one or a couple of turbines has been presented for a real‐world case involving a full farm.…”

Section: Introductionmentioning

confidence: 99%

Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers

de N Santos,

Noppe,

Weijtjens

et al. 2024

Wind Energy

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Fatigue has become a major consideration factor in modern offshore wind farms as optimized design codes, and a lack of lifetime reserve has made continuous fatigue life monitoring become an operational concern. In this contribution, we discuss a data‐driven methodology for farm‐wide tower‐transition piece fatigue load estimation. We specifically debate the employment of this methodology in a real‐world farm‐wide setting and the implications of continuous monitoring. With reliable nacelle‐installed accelerometer data at all locations, along with the customary 10‐min supervisory control and data acquisition (SCADA) statistics and three strain gauge‐instrumented 'fleet‐leaders', we discuss the value of two distinct approaches: use of either fleet‐leader or population‐based data for training a physics‐guided neural network model with a built‐in conservative bias, with the latter taking precedence. In the context of continuous monitoring, we touch on the importance of data imputation, working under the assumption that if data are missing, then its fatigue loads should be modeled as under idling. With this knowledge at hand, we analyzed the errors of the trained model over a period of 9 months, with monthly accumulated errors always kept below . A particular focus was given to performance under high loads, where higher errors were found. The cause for this error was identified as being inherent to the use of 10‐min statistics, but mitigation strategies have been identified. Finally, the farm‐wide results are presented on fatigue load estimation, which allowed to identify outliers, whose behavior we correlated with the operational conditions. Finally, the continuous data‐driven, population‐based approach here presented can serve as a springboard for further lifetime‐based decision‐making.

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“…Geotechnical assessments are integral to the success of wind energy projects, particularly in ensuring the stability and longevity of wind turbine foundations , Yeter & Garbatov, 2022. Foundation design considerations are crucial in wind energy projects, as the foundation must support the substantial weight of the turbine and withstand the dynamic forces generated by wind loads.…”

Section: Geotechnical Assessments In Wind Energy Projectsmentioning

confidence: 99%

Geotechnical assessments for renewable energy infrastructure: Ensuring stability in wind and solar projects

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

2024

Eng. sci. technol. j.

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Geotechnical assessments are crucial for ensuring the stability and longevity of renewable energy infrastructure, particularly in wind and solar projects. This review explores the significance of geotechnical assessments in these projects, highlighting key considerations and challenges. Geotechnical assessments play a critical role in the design, construction, and operation of renewable energy infrastructure, providing essential information about the subsurface conditions that can impact the stability and performance of wind and solar projects. These assessments involve the evaluation of soil, rock, and groundwater conditions to assess their suitability for supporting renewable energy structures. In wind energy projects, geotechnical assessments are essential for determining the foundation design of wind turbines. The soil and rock conditions at the site can significantly impact the stability and load-bearing capacity of the foundation, affecting the overall performance and safety of the turbine. Similarly, in solar energy projects, geotechnical assessments are necessary for designing the foundation of solar panels and support structures, ensuring they can withstand environmental loads and maintain their efficiency over time. One of the key challenges in geotechnical assessments for renewable energy projects is the variability of subsurface conditions. Soil and rock properties can vary significantly over short distances, requiring detailed site investigations to accurately characterize the subsurface conditions. Additionally, the presence of natural hazards such as landslides, earthquakes, and floods can further complicate geotechnical assessments, necessitating robust risk mitigation strategies. Despite these challenges, geotechnical assessments are essential for ensuring the long-term stability and performance of renewable energy infrastructure. By providing valuable insights into subsurface conditions, these assessments help developers and engineers make informed decisions about site selection, foundation design, and risk management, ultimately contributing to the successful implementation of renewable energy projects. In conclusion, geotechnical assessments are vital for ensuring the stability and longevity of renewable energy infrastructure, particularly in wind and solar projects. By providing crucial information about subsurface conditions, these assessments help mitigate risks and ensure the safe and efficient operation of renewable energy projects. Keywords: Geotechnical Assessments, Renewable Energy, Infrastructure, Stability, Wind and Solar Projects.

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Structural integrity assessment of fixed support structures for offshore wind turbines: A review

Cited by 27 publications

References 109 publications

Structural health monitoring based on the cumulative function and cumulative circle of a defective beam under a moving load

Structural health monitoring based on the cumulative function and cumulative circle of a defective beam under a moving load

Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers

Geotechnical assessments for renewable energy infrastructure: Ensuring stability in wind and solar projects

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