A fatigue reliability assessment approach for wind turbine blades based on continuous time Bayesian network and FEA

To more precisely assess the reliability of wind turbine gears, a competing failure model is established with consideration given to the degradation of internal fatigue strength and external random shocks. Firstly, the nonlinear Gamma process is adopted to depict the degradation of fatigue strength, and the strength‐stress interference theory is used to establish the threshold of degradation failure that changes over time. Also, the non‐homogeneous Poisson process is employed to depict the arrival of the shock, and classification of the shocks. Secondly, the correlation between degradation and shock is described, while the effect of shocks on degradation is demonstrated as a sudden increase in the extent of degradation. Besides, the decline rate of residual strength curve is introduced to describe the change in intensity parameters of the Poisson process, and then the effect of degradation on shocks is described. Finally, the sun gear in the wind turbine gearbox is an example. Monte Carlo simulation is used to calculate the reliability of the dependent competing failure model. This is then compared with the conventional stress‐strength interference model. The results verify that when the relationship between degradation and the shock process is disregarded, the reliability of gears may be overestimated.

Section: Description Of Degradation Failurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wind turbine gear reliability analysis considering dependent competing failure

Liu,

Gao,

Yuan

et al. 2023

“…9 Liu et al proposed a fatigue reliability assessment approach for wind turbine blades that combines finite element analysis to identify critical regions and quantify uncertainties with a continuous time Bayesian network model to analyze failure probabilities and relationships between blade components. 10 When estimating the structural reliability of fatigue crack growth in aero-disks, the probabilistic model of the aero-disk is typically integrated with reliability analysis methods, such as First Second Moment Method (FORM), Monte Carlo Simulation (MCS) and Kriging Surrogate Model and others. Walz and Riesch established a stochastic model of turbine disk fracture failure based on probabilistic fracture mechanics, which solved both the failure probability of the disk and the sensitivity of input random parameters through a primary reliability method and MCS.…”

Section: Introductionmentioning

confidence: 99%

Fatigue reliability and sensitivity analysis of aero‐disk considering correlation

Di,

Li,

Nan

et al. 2024

Aero‐disk is a key component of aero‐engine. Due to its complex working conditions, aero‐disk is prone to structural failures. Therefore, it is essential to analyze the reliability and importance input variables of aero‐disk. In this paper, a framework of aero‐disk reliability analysis and global sensitivity analysis (GSA) was established. First, the hazardous regions of aero‐disk were determined by finite element analysis, and the limit state function of aero‐disk was defined by the life interference model. Then D‐Vine model was utilized to establish the correlation model for aero‐disk hazardous regions to evaluate the reliability of aero‐disk. In addition, two GSA methods based on Copula and space partition were proposed to identify important input random variables considering underlying correlation, and the accuracy of the proposed method was verified by two examples. Finally, the proposed method was applied to the GSA of aero‐disk. The results show that the established framework fills in the gap of uncertainty analysis of aero‐disk, which can be extended to other engineering fields. The proposed GSA methods have both high efficiency and accuracy and can realize multi‐dimensional GSA when the correlation of input variables is considered.

“…8 Finite element analysis is the primary tool for dynamic response and reliability analysis of pipelines. [9][10][11][12] For instance, Jing et al 13 created a model of a buried pipeline subjected to square rockfall impact and simulated the pipeline's dynamic response during rockfall, concluded that the impact duration was short, lasting only from 10 −3 to 10 −2 s. Gucuyen et al 14 established a test platform to investigate the impact loads on pipelines. The platform is equipped with a dynamic force sensor to analyze the dynamic response process and the changes in mechanical properties of pipelines made of different materials during rockfall and earthquake events.…”

Section: Introductionmentioning

confidence: 99%

“…Finite element analysis is the primary tool for dynamic response and reliability analysis of pipelines 9–12 . For instance, Jing et al 13 .…”

Section: Introductionmentioning

confidence: 99%

Dynamic response and safety analysis of polyethylene pipeline under rockfall conditions

Yang

Liu

Peng

et al. 2023

The safety of buried gas pipelines in mountainous cities is at risk due to potential hazards such as landslides and rock falls. To ensure the safety of pipelines, this paper develops a three‐dimensional dynamic response model to reveal the impact of rockfall radius, rockfall impact velocity, and pipe burial depth on the dynamic response of buried polyethylene pipelines (PE pipelines) under rockfall conditions. Subsequently, an orthogonal experimental design and analysis of variance (ANOVA) are performed to identify critical factors. Ultimately, a multi‐factor limit state equation is constructed to assess the safety of PE pipelines accordingly failure prevention actions for buried gas pipelines under the impact of rockfall is specified. Overall, this proposed method contributes to safety analysis of buried PE pipelines in rockfall‐prone areas.