Volume 39, Number 5, October 2021
|Page(s)||1035 - 1042|
|Published online||14 December 2021|
Resonance reliability and importance measure analysis of multi-span pipe conveying fluid embedded in temperature-varying matrix
School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an 710072, China
Pipe system conveying fluid faces the problem of multi-order resonance failure caused by broadband excitation. For solving above problem, the dynamic stiffness method is employed to solve the dynamic equations of multi-span pipes considering the temperature effect. Combining the obtained natural frequency and the rule of resonance failure of pipe system, a multi-order anti-resonance system reliability model is established in this paper. To analyze the effect of input variable uncertainty on the probability of system resonance failure, the variance-based importance measurement index is further established. By introducing the active learning Kriging (ALK) model, the resonance failure probability and importance measurement index can be calculated efficiently. The effects of fluid flow velocity, pressure and temperature on the probability of pipe resonance failure are analyzed in detail, which has significant guidance for the anti-resonance optimization design of pipes.
Key words: pipe conveying fluid / dynamic stiffness method / resonance reliability / importance measure / ALK
关键字 : 输流管道 / 动刚度法 / 共振可靠性 / 重要性测度 / ALK
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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