Identification of operational bridge structure responses using statistical learn theory

Weiming Li, Lieyun Ding, Hongping Zhu, Yong Xia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

A method to indentify the responses of an operational bridge structure to dynamitic loads under multi- uncertain factors is proposed by using the principle of structural risk minimum from statistical learn theory. The bridge responses with a moving vehicle are numerical simulated based on a simplified model under road excitations and Gaussian white noises, and the structural risk of the identifications are investigated. The under-fitting and the over-fitting results are compared to the identification results with statistical learn theory concerning the double uncertainties, which to illustrate the method validity. The further work of the method is discussed.
Original languageEnglish
Pages (from-to)116-119
Number of pages4
JournalHuazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
Volume37
Issue number12
Publication statusPublished - 1 Dec 2009
Externally publishedYes

Keywords

  • Algorithm
  • Bridge
  • Dynamic response
  • Statistical
  • Structural risk minimization
  • System identification

ASJC Scopus subject areas

  • Computer Science(all)

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