A time-variant performance measure approach for dynamic reliability based design optimization

Du, Weiqi; Luo, Yongxiang; Wang, Yongqin

doi:10.1016/j.apm.2019.06.004

Cited by 15 publications

(1 citation statement)

References 31 publications

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“…The MDO problem under aleatory and interval uncertainties is studied in this work. The mathematical model of RBMDO based on the performance measure approach (PMA) [33][34][35][36] and a multidisciplinary reliability analysis method considering mixed aleatory and interval uncertainties are proposed in this study. Combined with an SORA decoupling strategy and a CO algorithm, the rotor MDO problem under mixed uncertainty is studied.…”

Section: Multidisciplinary Design Optimization Under Aleatory and Int...mentioning

confidence: 99%

Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework

Yuan

Xie

et al. 2022

Machines

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The turbine rotor is the key component of the turbine, which has a great impact on the construction cost and power generation efficiency of an entire hydropower station. Receiving the torque of the runner transmission and completing the specified power generation is its main function. There are many uncertain factors in the design, manufacture, and operation environment of a turbine rotor. Therefore, it is necessary to optimize the mechanism on the premise of ensuring that the mechanical system meets high reliability and high safety levels. This article uses the multidisciplinary reliability analysis and optimization method under random and interval uncertainty to quantitatively analyze the uncertainty factors, and then optimally solves the RBMDO problem of the turbine rotor mechanism. Through the finite element simulation analysis of the optimized design scheme, the rationality and feasibility of the obtained results are further verified.

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Section: Multidisciplinary Design Optimization Under Aleatory and Int...mentioning

confidence: 99%