Dynamic prediction fatigue life of composite wind turbine blade

Lecheb, S.; Nour, Abdelkader; Chellil, A.; Mechakra, H.; Ghanem, Hicham; Kébir, Hocine

doi:10.12989/scs.2015.18.3.673

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…Ziegler et al [7] analyzed fatigue crack growth at two structural hot spots by using a fracture mechanics model applying Paris' law and studied load sequence and weather seasonality influence fatigue crack growth for monopile-based offshore wind turbines. Lecheb et al [8] investigated dynamic crack fatigue life of a 25 m length wind turbine blades and discussed the influence of displacement, strain, stress, and mode shapes on crack growth. Wang and Soutis [9] studied fatigue performance of composite T joints used in wind turbine blades with various fibre reinforcement architectures and analyzed stress distribution and initiation and growth of a delaminating crack by developing a finite element model.…”

Section: Introductionmentioning

confidence: 99%

Effect of Welding Residual Stress on Along-Wind Fatigue Life of Welded Joints in Guyed Mast

Wang

Zhou

2020

Shock and Vibration

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On the premise of only considering along-wind effect on guyed mast, the influence of welding residual stress on the fatigue life of welded joints is evaluated in this paper. Since the sum of residual stress and along-wind-induced dynamic stress exceeds the yield strength of structural steel, the effect of residual stress relaxation is included in the numerical analysis. The multiscale finite element analysis of guyed mast is developed in order to capture accurately stress field distribution of welded joint for the “welding-wind-induced” case in which both residual stress and along-wind-induced stress are taken into consideration, and the stress response characteristics at fatigue critical point of welded joints are pointed out. It is found that the “welding-wind-induced” stress field of welded joint can be approximately considered as multiaxial proportional loading state and hence the stress-based von Mises criterion can be adopted to evaluate the fatigue life of welded joints. Based on the S-N curve of stress fatigue life for welded specimens with structural steel commonly used in guyed masts, the fatigue damage of key welded joints is predicted, and as a consequence, the influence of welding residual stress on the fatigue life of welded joints is discussed.

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Section: Introductionmentioning

confidence: 99%

Effect of Welding Residual Stress on Along-Wind Fatigue Life of Welded Joints in Guyed Mast

Wang

Zhou

2020

Shock and Vibration

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“…Lecheb et al. 17 have analyzed fatigue life of a large wind turbine blade made of glass/epoxy composite and also carried out crack growth study, experimental fatigue life determination, and fast fracture analysis.…”

Section: Introductionmentioning

confidence: 99%

Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade

Kulkarni

Dhoble

Padole

2018

Proceedings of the Institution of Mechanical Engineers, Part C:

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The purpose of this paper is to analyze the modern deep neural networks such as nonlinear autoregressive network with external inputs and a recurrent neural network called long short-term memory for wind speed forecast for long-term and use the prediction for fatigue analysis of a large 5 MW wind turbine blade made of composite materials. The use of machine learning algorithms of advanced neural network applied for engineering problems is increasing recently. The present paper therefore brings as important connection between these latest machine learning methods and engineering analysis of complex wind turbine blades which are also the focus of researchers in renewable system design and analysis. First, a nonlinear autoregressive network with external inputs neural network model using Levenberg–Marquardt back propagation feed forward algorithm is developed with 5 years of environment parameters as input. Similarly, a long short-term memory based model is developed and compared. The chosen long short-term memory model is used for developing two-year wind speed forecast. This wind pattern is used to create time varying loads on blade sections and cross-verified with National Renewable Energy Laboratory tools. A high-fidelity CAD model of the NREL 5 MW blade is developed and the fatigue analysis of the blade is carried out using the stress life approach with load ratio based on cohesive zone modeling. The blade is found to have available life of about 23.6 years. Thus, an integrated methodology is developed involving high-fidelity modeling of the composite material blade, wind speed forecasting using multiple environmental parameters using latest deep learning methods for machine learning, dynamic wind load calculation, and fatigue analysis for National Renewable Energy Laboratory blade.

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“…Movaghghar and Lvov 7 developed an energy-based model for fatigue life prediction and damage evaluation of wind turbine rotor blade using the continuum damage mechanics. Lecheb et al 8 proposed a dynamic approach to predict fatigue life of wind turbine rotor blade using the finite element analysis method. For most of these methods, the effect of stress amplitude is only considered during the modeling process, while the effect of mean stress is neglected.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

Gao

Kou

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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To predict fatigue life of wind turbine rotor blade composites under random loads, the combined effects of stress amplitude and mean stress are considered. First, the generalized s-N curved surface is introduced to characterize the fatigue properties of composites under constant amplitude cyclic load. Then, a modified Miner's rule is developed to reveal the evolution process of fatigue damage under variable amplitude cyclic loads. Finally, a fatigue life prediction model is presented based on the total probability formula and the modified Miner's rule, which can reflect the combined effects of stress amplitude and mean stress on fatigue life. The experimental data of wind turbine rotor blade composites are used to illustrate the specific process of the proposed method; the results indicate that the prediction values of the developed method are reasonable and effective.

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Dynamic prediction fatigue life of composite wind turbine blade

Cited by 6 publications

References 23 publications

Effect of Welding Residual Stress on Along-Wind Fatigue Life of Welded Joints in Guyed Mast

Effect of Welding Residual Stress on Along-Wind Fatigue Life of Welded Joints in Guyed Mast

Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

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