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author:

Ren, WX (Ren, WX.) [1] | Zhao, T (Zhao, T.) [2] | Harik, IE (Harik, IE.) [3]

Indexed by:

EI Scopus SCIE

Abstract:

The paper presents the experimental and analytical modal analysis of a steel-girder arch bridge. The field test is carried out by ambient vibration testing under traffic and wind-induced excitations. Both the peak picking method in the frequency domain and the stochastic subspace identification method in the time domain are used for the output-only modal identification. A good agreement in identified frequencies has been found between the two methods. It is further demonstrated that the stochastic subspace identification method provides better mode shapes. The three-dimensional finite element models are constructed and an analytical modal analysis is then performed to generate natural frequencies and mode shapes in the three-orthogonal directions. The finite element models are validated to match the field natural frequencies and mode shapes. It is observed that the finite element Model-2 with the concrete slab provides the greater stiffness in the transverse direction of the bridge. The finite element Model-1 with the lumped masses agrees well with the field tests and can serve as a baseline model of the bridge.

Keyword:

arch bridges experimentation modal analysis model tests steel vibration

Community:

  • [ 1 ] Fuzhou Univ, Dept Civil Engn, Fuzhou 350002, Fujian Province, Peoples R China
  • [ 2 ] Cent S Univ, Dept Civil Engn, Changsha, Hunan Province, Peoples R China
  • [ 3 ] Tianjin Univ, Dept Civil Engn, Tianjin 300072, Peoples R China
  • [ 4 ] Univ Kentucky, Dept Civil Engn, Lexington, KY 40506 USA

Reprint 's Address:

  • 任伟新

    [Ren, WX]Fuzhou Univ, Dept Civil Engn, Fuzhou 350002, Fujian Province, Peoples R China

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Source :

JOURNAL OF STRUCTURAL ENGINEERING

ISSN: 0733-9445

Year: 2004

Issue: 7

Volume: 130

Page: 1022-1031

0 . 7 7 4

JCR@2004

3 . 7 0 0

JCR@2023

ESI Discipline: ENGINEERING;

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 135

SCOPUS Cited Count: 159

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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