Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity

Liu, Genshen; Liu, Huaiju; Zhu, Caichao; Mao, Tianyu; Hu, Gang

doi:10.1007/s11465-020-0611-5

Cited by 20 publications

(5 citation statements)

References 33 publications

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“…Currently, extensive efforts have been carried out to boost the resist fatigue performance of aeroengine structures [7][8][9][10], including fatigue reliability modeling under random loads [11][12][13][14][15], probabilistic fatigue life evaluation considering material variability [16][17][18][19], constitutive responsebased fatigue failure accounting for model uncertainties [20][21][22][23][24], stochastic randomness-based fatigue failure evaluation [25][26][27], and so forth. During the above investigations, the disperse characteristics of fatigue life were sufficiently studied, laying the groundwork for fatigue reliability degree assessment.…”

Section: Mcsmentioning

confidence: 99%

Random Forest-Based Fatigue Reliability-Based Design Optimization for Aeroengine Structures

Li,

Song

2024

CMES

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Fatigue reliability-based design optimization of aeroengine structures involves multiple repeated calculations of reliability degree and large-scale calls of implicit high-nonlinearity limit state function, leading to the traditional direct Monte Claro and surrogate methods prone to unacceptable computing efficiency and accuracy. In this case, by fusing the random subspace strategy and weight allocation technology into bagging ensemble theory, a random forest (RF) model is presented to enhance the computing efficiency of reliability degree; moreover, by embedding the RF model into multilevel optimization model, an efficient RF-assisted fatigue reliability-based design optimization framework is developed. Regarding the low-cycle fatigue reliability-based design optimization of aeroengine turbine disc as a case, the effectiveness of the presented framework is validated. The reliabilitybased design optimization results exhibit that the proposed framework holds high computing accuracy and computing efficiency. The current efforts shed a light on the theory/method development of reliability-based design optimization of complex engineering structures.

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Section: Mcsmentioning

confidence: 99%

Random Forest-Based Fatigue Reliability-Based Design Optimization for Aeroengine Structures

Li,

Song

2024

CMES

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“…Reliability is the figure of merit to judge product function [20][21][22][23][24][25]. In reliabilitybased design optimization, reliability means that products satisfy functionality by probability.…”

Section: Reliability-based Design Optimizationmentioning

confidence: 99%

Archive of Mechanical Engineering

Lee

Park

2022

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“…In terms of reliability optimization design, Wang Chunguang [6] established a multi-objective optimization design mathematical model that incorporates gear transmission system dynamics, reliability, robustness, and volume as objective functions, obtaining the optimal solution using simulated annealing particle swarm optimization algorithm. Liu Genshen et al [7] combined stress intensity interference theory and strength degradation to analyze the fatigue reliability of various stages of transmission and gear systems, selecting five macro geometric parameters of gear transmission as design variables for reliability optimization design. Zhang et al [8] focused on the gear transmission system of a ball mill and used the Kriging model to represent the mapping relationship between variables and reliability, performing global optimization of gear transmission using volume and reliability as dual objective functions.…”

Section: Introductionmentioning

confidence: 99%

Research on optimal design method of dynamic stress parameters of helical gear based on orthogonal experimental design

Ke,

Huan,

Suliang

et al. 2024

J. Phys.: Conf. Ser.

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Aiming at the reliability optimization design problem of two-grade helical cylindrical gear transmission system, the UG parameterized model based on expression and ADAMS dynamic simulation model under real working conditions are integrated in ISIGHT platform, and the distribution law of peak contact force on the tooth surface of helical gear pair in the transmission system at different meshing times is obtained. Considering the uncertainty of material properties, load conditions and geometric parameters, the sample set was generated according to the orthogonal experimental design method, and the Kriging approximation model was established. On this basis, the contact strength reliability of helical gear was analyzed. The mathematical model of meshing efficiency reliability optimization of helical gear pair was established and solved by Hooke-Jeeves Direct Search method. The results show that the meshing efficiency and reliability of the optimized helical gear pair are improved, and the peak value of the contact force is obviously reduced.

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Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity

Cited by 20 publications

References 33 publications

Random Forest-Based Fatigue Reliability-Based Design Optimization for Aeroengine Structures

Random Forest-Based Fatigue Reliability-Based Design Optimization for Aeroengine Structures

Archive of Mechanical Engineering

Research on optimal design method of dynamic stress parameters of helical gear based on orthogonal experimental design

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