Numerical Studies on a novel Damage Localization Feature of Cantilever Beams using Standard Deviation and Curvature Method
被引:0
|
作者:
An, Yonghui
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机构:
Dalian Univ Technol, Dept Civil Engn, Dalian 116023, Peoples R ChinaDalian Univ Technol, Dept Civil Engn, Dalian 116023, Peoples R China
An, Yonghui
[1
]
Ou, Jinping
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h-index: 0
机构:
Dalian Univ Technol, Dept Civil Engn, Dalian 116023, Peoples R ChinaDalian Univ Technol, Dept Civil Engn, Dalian 116023, Peoples R China
Ou, Jinping
[1
]
机构:
[1] Dalian Univ Technol, Dept Civil Engn, Dalian 116023, Peoples R China
来源:
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2012
|
2012年
/
8348卷
关键词:
curvature;
logarithms;
standard deviation;
damage localization;
cantilever beams;
damage detection;
structural health monitoring;
STRUCTURAL DAMAGE;
MODAL DATA;
IDENTIFICATION;
D O I:
10.1117/12.924172
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
In this paper, taking the cantilever beams as example, a novel and simple damage localization approach is proposed: the Curvature Difference Probability Method of Waveform Logarithms of Standard Deviation (CDPWLSD). Firstly, the feature, the common Logarithms of Standard Deviation ( LSD) for the response signals before and after damage should be computed at every measured node. Then, the curvature changes of the waveform LSD are selected as candidates for the potentially damaged locations. Lastly, the probability of every potentially damaged element presenting in multiple identifications is considered to determine the finally damaged elements. Numerical results of both single and multiple damage cases show that the proposed approach can be used to locate damage very well. And it is still effective even if the noise level is up to 15%.
机构:
Lund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, SwedenLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Yu, Senbin
Sadanandan, Rajesh
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机构:
Indian Inst Space Sci & Technol, Dept Aerosp Engn, Thiruvananthapuram 695547, Kerala, IndiaLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Sadanandan, Rajesh
Bai, Xue-Song
论文数: 0引用数: 0
h-index: 0
机构:
Lund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, SwedenLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden