PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 14, 2026Journal of Vibration and Control0 citations

A direct model updating method for damped gyroscopic systems with preserved physical connectivity

View Full Paper
SCShuai CongOcean University of ChinaCZChanghong ZhiJSJinwei SunOcean University of China

Key Points

  • The aim is to develop a method that accurately updates system matrices in gyroscopic systems while preserving physical connectivity.
  • Introduces a direct updating method for stiffness, gyroscopic, damping, and mass matrices.
  • Utilizes a few measured modal data for parameter correction.
  • Forms a system of simultaneous linear equations based on eigenvectors from analytical and experimental models.
  • Demonstrates exceptional accuracy in updating system parameters.
  • Shows high computational efficiency compared to traditional methods.
  • Confirms maintenance of physical interpretability and satisfaction of the no-spillover property.

Abstract

In structural dynamics of gyroscopic systems, accurately modeling system behavior using finite element methods remains challenging due to uncertainties in system matrix parameters. Traditional methods for correcting such systems often rely on matrix inversion techniques, which struggle to maintain the system’s physical connectivity. This paper presents a novel direct updating method to correct the stiffness, gyroscopic, damping, and mass matrices of a damped gyroscopic system simultaneously, utilizing only a few measured modal data. The proposed approach inherently ensures the system’s physical interpretability and satisfies the no-spillover property. It is implemented by formulating a system of simultaneous linear equations to update the parameters of the system matrices, where the formulation of each equation relies on the multiplicative terms from two eigenvectors of analytical and experimental models, respectively. Numerical investigation demonstrates the method’s exceptional accuracy and computational efficiency, highlighting its potential for practical applications in dynamic gyroscopic system modeling and analysis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Cong et al. (2026) studied this question.

synapsesocial.com/papers/699011b32ccff479cfe58960https://doi.org/10.1177/10775463261424862
Ask AI
Helpful
Bookmark
Share
View Full Paper