Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics

Li, Lei; Wan, Huan; Gao, Wenjing; Tong, Fujuan; Li, Honglin

doi:10.1007/s00158-018-2081-5

Cited by 60 publications

(19 citation statements)

References 33 publications

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“…e third case is multidisciplinary design optimization for cooling blade which considers the aerodynamic, heat transfer, and strength analysis, revised from [40]. e geometry model of the cooling turbine blade and the design parameters are shown in Figure 9, where x i (i � 1, .…”

Section: Casementioning

confidence: 99%

“…e EBMDO results compared with the RBMDO and MDO by [40] are listed in Table 9. e multidisciplinary feasible approach is adopted in this case.…”

Section: Complexitymentioning

confidence: 99%

“…Rib2 Rib1 Figure 9: Geometry model and the design parameters of the blade [40]. Complexity introducing a learning function, the global Kriging model is adaptively constructed to replace the limit state function.…”

Section: Rib3mentioning

confidence: 99%

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Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model

Yang

Liu

et al. 2019

Complexity

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This article presents an approach that combines the active global Kriging method and multidisciplinary strategy to investigate the problem of evidence-based multidisciplinary design optimization. The global Kriging model is constructed by introducing a so-called learning function and using actively selected samples in the entire optimization space. With the Kriging model, the plausibility, Pl, of failure is obtained with evidence theory. The multidisciplinary feasible and collaborative optimization strategies of multidisciplinary design optimization are combined with the evidence-based reliability analysis. Numerical examples are provided to illustrate the efficiency and accuracy of the proposed method. The numerical results show that the proposed algorithm is effective and valuable, which is valuable in engineering application.

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Section: Casementioning

confidence: 99%

“…e EBMDO results compared with the RBMDO and MDO by [40] are listed in Table 9. e multidisciplinary feasible approach is adopted in this case.…”

Section: Complexitymentioning

confidence: 99%

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Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model

Yang

Liu

et al. 2019

Complexity

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“…Kharmanda and Sayegh 28 proposed the reliability‐based design optimization for the heat flux analysis of composite walls. Lei et al 29 have studied MDO of the cooling turbine blade. The thickness of the blade wall and thickness and height of ribs are chosen as design variables.…”

Section: Introductionmentioning

confidence: 99%

A new synthetic metamodel methodology for liquid‐propellant engine's cooling system optimization

2020

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The present paper strives for optimization of the cooling system of a liquid-propellant engine (LPE). To this end, the new synthetic metamodel methodology utilizing the design of experiment method and the response surface method was developed and im-How to cite this article: Alimohammadi HR, Naseh H, Ommi F. A new synthetic metamodel methodology for liquid-propellant engine's cooling system optimization.

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“…The Reliability-Based Multidisciplinary Design Optimization (RBMDO) has obtained more and more attention for the high reliability and safety of complex engineering systems [1][2][3][4][5][6][7][8][9][10]. Generally, the RBMDO process involves a three-level optimization loop [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Reliability Index Method and Its Application in Reliability-Based Collaborative Design and Optimization

Meng

Zhu

et al. 2019

Mathematical Problems in Engineering

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When designing complex mechanical equipment, uncertainties should be considered to enhance the reliability of performance. The Reliability Index Method (RIM) is a powerful tool which has been widely utilized in engineering design under uncertainties. To reduce computational cost in RIM, first or second order Taylor approximation is introduced to convert nonlinear probability constraint to the equivalent linear constraint during optimization process. Generally, this approximation process is performed at Most Probable Point (MPP) to reduce the loss of reliability analysis accuracy. However, it is difficult for the original RIM to be utilized in the situation that MPP is collinear and RIM has the same direction with the gradient of performance function at MPP. To tackle the above challenges, an Enhanced RIM (ERIM) is proposed in this study. The Collaborative Optimization (CO) strategy is combined with ERIM. The formula of CO using ERIM is given to solve reliability-based multidisciplinary design and optimization problems. A design problem of the speed reducer is utilized in this study to show the effectiveness of the proposed method.

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Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics

Cited by 60 publications

References 33 publications

Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model

Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model

A new synthetic metamodel methodology for liquid‐propellant engine's cooling system optimization

An Enhanced Reliability Index Method and Its Application in Reliability-Based Collaborative Design and Optimization

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