Wind Turbine Blade Dynamics Simulation under the Effect of Atmospheric Turbulence

Ismaiel, Amr

doi:10.28991/esj-2023-07-01-012

Cited by 18 publications

(7 citation statements)

References 28 publications

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“…Table 1 presents the comparative results of diverse normalization methods, employing XGBoost as the machine learning algorithm. It displays R 2 and RMSE values for normalized fatigue lifetime and its logarithm, using the entire dataset without splitting it into separate training and test data. Additionally, a study was conducted to predict the fatigue lifetime under various conditions using XGBoost and 100% of the data as training data (24).…”

Section: Resultsmentioning

confidence: 99%

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Effect of Training Data Ratio and Normalizing on Fatigue Lifetime Prediction of Aluminum Alloys with Machine Learning

Matin,

Azadi

2024

IJE

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It is critical to evaluate the estimation of the fatigue lifetimes for the piston aluminum alloys, particularly in the automotive industry. This paper investigates the effect of different normalization methods on the performance of the fatigue lifetime estimation using Extreme Gradient Boosting (XGBoost), as a supervised machine learning method. For this purpose, the dataset used in this study includes various physical and experimental inputs related to an aluminum alloy and the corresponding fatigue lifetime outputs. Furthermore, before fitting the XGBoost model, different fatigue lifetime preprocessing methods were utilized and evaluated using metrics such as Root Mean Square Error (RMSE), Determination Coefficient (R 2 ), and Scatter Band (SB). The results indicate that modeling fatigue lifetime with logarithmic values as a preprocessing method excels when XGBoost is trained with 100% of the data. However, other normalization methods demonstrate superior accuracy in estimating test data with a 20% test and 80% train set split.

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Section: Resultsmentioning

confidence: 99%

“…Fatigue loading and the resulting crack propagation are significant issues in the industry (1,2). Researchers have attempted to increase the fatigue lifetime of industrial equipment and materials by employing various methods, including geometry-related technologies such as autofrettage (3), and manufacturing procedures such as welding (4).…”

Section: Introductionmentioning

confidence: 99%

Effect of Training Data Ratio and Normalizing on Fatigue Lifetime Prediction of Aluminum Alloys with Machine Learning

Matin,

Azadi

2024

IJE

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“…Hajipour Khire Masjidi et al [19] investigated the effect of the distance from the ground using a moving earth and a simple geometric shape (similar to the geometry that is examined in the first part of this article). Yu et al [20] and Ismaiel [21] also used an aerodynamic shape to experimentally investigate the effect of distance from the ground on aerodynamic forces. According to their research, when the distance of the bottom of the device and the ground is reduced, the flow rejoins somewhere closer to the front of the model.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Clearance Distance between the Floor of a High-speed Train and Ground on Aerodynamic Forces in Presence of Side Wind

Norouzi

Hossainpour

Rashidi

2023

IJE

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The main objective of this paper was to propose the real model of the high speed train regarding the side wind disturbance. In the first part of this article, the turbulent air flow around a simplified design of a high-speed vehicle was numerically analyzed using finite volume method and four RANS turbulence models, including k-ω SST, k-ε RNG, Spalart-Almaras, and Launder and Sharma. The results of numerical simulations regarding the wall function were validated by experimental works and it was shown that in the area near the wall, the SST k-ω model had the best simulation for the horizontal component of the velocity (21% error). The results of the lift coefficients showed that at short distances from the train floor to the ground due to relatively strong wind with angles less than 0.2 radians, the lift coefficient was negative and as a result, the forces acting on the train were downward. Finally it was shown that by increasing the wind angle, this coefficient gradually becomes positive, which can disrupt the stability of the train. It can be concluded that in trains whose floor to ground distance is more than 0.136 of the train height, the balance is maintained only in the absence of side wind.

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“…They may be various renewable energy sources using sun, water or wind. Among these sources, the most popular is a small scale wind power [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Drive System Operation of a Wind Power Plant

Osowski¹,

Iwanicki²,

Kotliński³

et al. 2023

Adv. Sci. Technol. Res. J.

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The article presents experimental and theoretical studies concerning the possibility of using a controlled hydrodynamic clutch in a wind power plant's drive system. The hydrodynamic clutch is controlled by changing the distance between the hydrodynamic clutch rotors. The control system is supposed to maintain a constant angular velocity of the electric generator shaft. The considered method of control has not been used so far in power plant's drive systems. The advantages of using a controlled hydrodynamic clutch is simple structure, high durability and low weight of the entire drive system. The equations of the mathematical model for the drive system are formulated on the basis of: the balance of torques and the equations of the hydrodynamic clutch with retractable rotors. The equations are based on the onedimensional flow of the working fluid along the mean line of the stream. The model calculations are conducted numerically. In order to be able to determine the coefficients of the mathematical model, experimental research is conducted on a test bench designed specifically for this purpose. The research determines how the rotation direction and size of the gap between rotors influences the torque transferred by the hydrodynamic clutch, for selected values of the clutch's filling degree and the working fluid's temperature. On the basis of the model calculations results it was determined that a hydrodynamic clutch controlled by increasing the distance between rotors may be successfully used in drive systems of wind power plants to maintain a constant angular velocity of the electric generator shaft.

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Wind Turbine Blade Dynamics Simulation under the Effect of Atmospheric Turbulence

Cited by 18 publications

References 28 publications

Effect of Training Data Ratio and Normalizing on Fatigue Lifetime Prediction of Aluminum Alloys with Machine Learning

Effect of Training Data Ratio and Normalizing on Fatigue Lifetime Prediction of Aluminum Alloys with Machine Learning

Investigating the Effect of Clearance Distance between the Floor of a High-speed Train and Ground on Aerodynamic Forces in Presence of Side Wind

Modelling of Drive System Operation of a Wind Power Plant

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