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Identification of bridges' damage by dynamic...
Journal article

Identification of bridges' damage by dynamic fingerprints and bayes data fusion

Abstract

Using a single index to evaluate bridge safety is likely to draw a false conclusion due to the effect of measurement noise. Thus, an identification method of bridge damage based on the Bayes theory was proposed, which includes location identification and degree identification. First, the Bayes formula was used to fuse the normalized dynamic fingerprints and identify the damage locations. Then, only the fingerprints of damaged locations were …

Authors

Sun S; Liang L; Li M; Li X

Journal

Dongbei Daxue Xuebao Journal of Northeastern University, Vol. 38, No. 2, pp. 290–294

Publication Date

February 1, 2017

DOI

10.3969/j.issn.1005-3026.2017.02.028

ISSN

1005-3026