Model updating of nonlinear structures using substructuring method

Wei Tian, Shun Weng, Yong Xia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper develops the Kron's substructuring method for updating large-scale nonlinear structures. The global structure is divided into linear and nonlinear substructures. By using a transform basis, the global vibration equation is reduced to the master modal responses of linear substructures and responses of nonlinear substructures only. The sensitivity-based nonlinear model updating is then conducted on the reduced vibration equation. The element parameters in the linear and nonlinear substructures can be adjusted simultaneously so that the predicted responses match the measurement ones in an optimal manner. Only the concerned substructures and the reduced equation are re-analyzed in the optimization process, thus reducing the computational load compared with the traditional model updating methods on the global structure. Application to a nine-story frame with nonlinear base isolations demonstrates that the proposed method is very accurate and efficient in updating the linear and nonlinear parameters simultaneously with a few measured responses. The effects of measurement noise and the number of measurement points on the updating results are also investigated.

Original languageEnglish
Article number116719
JournalJournal of Sound and Vibration
Volume521
DOIs
Publication statusPublished - 17 Mar 2022

Keywords

  • Nonlinear base isolation
  • Nonlinear model updating
  • Response sensitivity
  • Structural response
  • Substructuring method

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Acoustics and Ultrasonics
  • Mechanical Engineering

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