个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:香港理工大学
学位:博士
所在单位:材料科学与工程学院
学科:计算力学. 航空航天力学与工程. 飞行器设计. 材料物理与化学. 高分子材料
办公地点:大连理工大学综合实验一号楼411A
联系方式:xuhao@dlut.edu.cn
电子邮箱:xuhao@dlut.edu.cn
Detection of debonding in steel-reinforced bridges using wavelet curvature features of laser-measured operating deflection shapes
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论文类型:期刊论文
发表时间:2017-05-01
发表刊物:JOURNAL OF VIBROENGINEERING
收录刊物:SCIE、EI、Scopus
卷号:19
期号:3
页面范围:1845-1853
ISSN号:1392-8716
关键字:hidden damage; debonding; concrete; bridge; noisy condition; wavelet-transform curvature; operating deflection shape; scanning laser vibrometer
摘要: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.