Finite element model updating of Canton Tower using regularization technique

Truong Thanh Chung, Soojin Cho, Chung Bang Yun, Hoon Sohn

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


This paper summarizes a study for the modal analysis and model updating conducted using the monitoring data obtained from the Canton Tower of 610 m tall, which was established as an international benchmark problem by the Hong Kong Polytechnic University. Modal properties of the tower were successfully identified using frequency domain decomposition and stochastic subspace identification methods. Finite element model updating using the measurement data was further performed to reduce the modal property differences between the measurements and those of the finite element model. Over-fitting during the model updating was avoided by using an optimization scheme with a regularization term.

Original languageEnglish
Pages (from-to)459-470
Number of pages12
JournalSmart Structures and Systems
Issue number4
StatePublished - 2012


  • Canton Tower
  • Finite element model updating
  • Modal identification
  • Regularization


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