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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Alma Mater:The Hong Kong Polytechnic University
Degree:Doctoral Degree
School/Department:Dalian University of Technology,China
Discipline:Computational Mechanics. Aerospace Mechanics and Engineering. Flight Vehicle Design. Materials Physics and Chemistry. Polymer Materials
Business Address:411A, No.1 integrated experimental building, Dalian University of Technology, China
Contact Information:xuhao@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

Detection of debonding in steel-reinforced bridges using wavelet curvature features of laser-measured operating deflection shapes

Hits : Praise

Indexed by:期刊论文

Date of Publication:2017-05-01


Included Journals:SCIE、EI、Scopus



Page Number:1845-1853

ISSN No.:1392-8716

Key Words:hidden damage; debonding; concrete; bridge; noisy condition; wavelet-transform curvature; operating deflection shape; scanning laser vibrometer

Abstract:Hidden damage severely threatens the safety of structures due to its invisibility and indistinguishability. Debonding is typical hidden damage in steel-reinforced bridges. Detection of multiple debondings in steel-reinforced bridges poses a challenge for traditional nondestructive methods that require damage location as prior knowledge, but this condition is usually not satisfied for debonding located within the bridge. Differing from existing studies, this study explores a vibrational method of detecting multiple debondings needing no prior knowledge, that uses a scanning laser vibrometer to acquire densely-sampled operating deflection shapes of bridges. The operating deflection shape carries richer information than mode shapes for damage characterization. Nevertheless, densely-sampled deformed quantities are commonly susceptible to noise when used to identify damage. To detect multiple debondings, a new feature is developed, the wavelet-transform curvature operating deflection shape. This feature is used to identify multiple debondings in a steel-reinforced concrete slab dismantled from a bridge, clearly demonstrating the strengths of suppressing noise, intensifying the signatures of debonding, and requiring no prior knowledge of damage location. The proposed method holds promise for detecting multiple hidden damage in various structures besides bridges.