A novel model reduction technique for mistuned blisks based on proper orthogonal decomposition in frequency domain

2022 ◽  
pp. 107320
Author(s):  
Daitong Wei ◽  
Hongkun Li ◽  
Yugang Chen ◽  
Xinwei Zhao ◽  
Jiannan Dong ◽  
...  
2004 ◽  
Vol 126 (3) ◽  
pp. 416-421 ◽  
Author(s):  
Sean A. Mortara ◽  
Joseph Slater ◽  
Philip Beran

The nonlinear panel flutter problem solved by Dowell in 1966 is used to investigate the new application of the proper orthogonal decomposition model reduction technique to aeroelastic analysis. Emphasis is placed on the nonlinear structural dynamic equations with nonconservative forcing modeled assuming a supersonic, inviscid flow. Here the aeroelastic coupled equation is presented in discrete form using a finite difference approach, and subsequently in state space form, to be integrated as a set of first order differential equations. In this paper, a POD approach is developed for generalized second-order differential equations; however, the application of POD to the governing equations in state space form is also discussed. This study compares the results and effectiveness of the model reduction technique for integration of the full set of degrees of freedom. The solution is compared to Dowell’s classic results which forms the base reference for the model reduction study. The reduced order model is then created from the full simulation model. Accuracy of the solution, reduced computational time, limits of stability, and the strengths and weaknesses of the model reduction are investigated.


2017 ◽  
Vol 34 (2) ◽  
pp. 285-306 ◽  
Author(s):  
David Binion ◽  
Xiaolin Chen

Purpose This paper aims to describe a method for efficient frequency domain model order reduction. The method attempts to combine the desirable attributes of Krylov reduction and proper orthogonal decomposition (POD) and is entitled Krylov enhanced POD (KPOD). Design/methodology/approach The KPOD method couples Krylov’s moment-matching property with POD’s data generalization ability to construct reduced models capable of maintaining accuracy over wide frequency ranges. The method is based on generating a sequence of state- and frequency-dependent Krylov subspaces and then applying POD to extract a single basis that generalizes the sequence of Krylov bases. Findings The frequency response of a pre-stressed microelectromechanical system resonator is used as an example to demonstrate KPOD’s ability in frequency domain model reduction, with KPOD exhibiting a 44 per cent efficiency improvement over POD. Originality/value The results indicate that KPOD greatly outperforms POD in accuracy and efficiency, making the proposed method a potential asset in the design of frequency-selective applications.


PAMM ◽  
2013 ◽  
Vol 13 (1) ◽  
pp. 115-116 ◽  
Author(s):  
Annika Radermacher ◽  
Stefanie Reese ◽  
Ashraf Moh'd Hasan Hadoush

Sign in / Sign up

Export Citation Format

Share Document