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Yun, Chung Bang
Structural Dynamics Lab
Research Interests
  • Structural dynamics
  • Stochastic mechanics and structural reliability
  • Smart sensors for structural health monitoring
  • System identification and damage diagnosis
  • Offshore, earthquake, and wind engineering
  • Soil-structure and fluid-structure interactions


Finite element model updating of Canton Tower using regularization technique

DC Field Value Language Yun, Chung Bang ko Chung, Truong Thanh ko Cho, Soojin ko Sohn, Hoon ko 2014-04-10T01:18:32Z - 2013-05-24 ko 2012-10 -
dc.identifier.citation SMART STRUCTURES AND SYSTEMS, v.10, no.4-5, pp.459 - 470 ko
dc.identifier.issn 1738-1584 ko
dc.identifier.uri -
dc.identifier.uri ko
dc.description.abstract 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. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.publisher TECHNO-PRESS ko
dc.subject Canton Tower ko
dc.subject Finite element model updating ko
dc.subject Modal identification ko
dc.subject Regularization ko
dc.title Finite element model updating of Canton Tower using regularization technique ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84869149989 ko
dc.identifier.wosid 000311017500010 ko
dc.type.rims ART ko
dc.description.wostc 1 *
dc.description.scopustc 1 * 2015-02-28 * 2014-07-12 *
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