A novel approach to incorporating previous fatigue damage into a failure model for short-fibre reinforced plastics

2022 ◽  
pp. 104155
Author(s):  
Christian Witzgall ◽  
Jessica Giolda ◽  
Sandro Wartzack
Keyword(s):  
Fatigue Damage ◽  
Short Fibre ◽  
Failure Model ◽  
Reinforced Plastics ◽  
Novel Approach

Estimation of Wind Turbine Gearbox Loads for Online Fatigue Monitoring Using Inverse Methods

2021 ◽  
Author(s):  
Felix C. Mehlan ◽  
Amir R. Nejad ◽  
Zhen Gao
Keyword(s):  
Wind Turbine ◽  
Fatigue Damage ◽  
Wind Turbine Gearbox ◽  
Local Loads ◽  
Vibration Data ◽  
Novel Approach ◽  
Torque Measurements ◽  
Continuous Estimation ◽  
Dynamic States

Abstract In this article a novel approach for the estimation of wind turbine gearbox loads with the purpose of online fatigue damage monitoring is presented. The proposed method employs a Digital Twin framework and aims at continuous estimation of the dynamic states based on CMS vibration data and generator torque measurements from SCADA data. With knowledge of the dynamic states local loads at gearbox bearings are easily determined and fatigue models are be applied to track the accumulation of fatigue damage. A case study using simulation measurements from a high-fidelity gearbox model is conducted to evaluate the proposed method. Estimated loads at the considered IMS and HSS bearings show moderate to high correlation (R = 0.50–0.96) to measurements, as lower frequency internal dynamics are not fully captured. The estimated fatigue damage differs by 5–15 % from measurements.

Adaptive cycle jump and limits of degradation in micromechanical fatigue simulations of fibre-reinforced plastics

2019 ◽  
Vol 28 (10) ◽  
pp. 1523-1555 ◽  
Author(s):  
Caroline Lüders ◽  
Michael Sinapius ◽  
Daniel Krause
Keyword(s):  
Fatigue Damage ◽  
Computation Time ◽  
Load Cycle ◽  
Model Parameters ◽  
Reinforced Plastics ◽  
Damage Models ◽  
Transverse Tensile ◽  
Fatigue Loads ◽  
Damage Simulation ◽  
Static Failure

This research investigates the influence of numerical parameters of micromechanical fatigue damage models on the obtained progressive damage behaviour of fibre-reinforced plastics at transverse tensile fatigue loads. The simulated damage behaviour is evaluated using experimentally observed crack patters published in the literature. The investigated numerical model parameters are (1) whether or not the model considers static failure within a simulated load cycle, (2) the degree of material property degradation after sudden failure and (3) the size of the cycle jump. The results reveal a significant influence of the degree of material degradation and of the cycle jump on the simulated matrix crack formation at both higher and lower fatigue loads. Static failure within a simulated load cycle primarily affects the damage behaviour at higher fatigue loads. The paper gives recommendations of the parameter choice for plausible progressive fatigue damage simulation results. Regarding the cycle jump, an adaptive algorithm is proposed and implemented. This approach leads to plausible fatigue damage results paired with a significant reduction of computation time comparing to a cycle-by-cycle analysis.

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