Abstract detail

56 / 2021-03-29 09:48:57
Structural damage detection using longitudinal vibration shapes through 3D laser scanning
structural damage detection; longitudinally vibrating structure; longitudinal vibration shape; 3D laser scanning
Special Sessions > Vibration-based structural damage detection
Abstract Accepted
Wei Xu / Hohai University
Weidong Zhu / University of Maryland; Baltimore County
Damage detection approaches relying on flexural vibration shapes (VSs) have been widely developed. However, these approaches are inapplicable to some structures governed mainly by tension and not bending, such as cables in a cable-stayed bridge, because bending effects on their flexural vibrations are much smaller compared to their tension effects. In contrast, longitudinal VSs can be useful for detecting such damages, although they are much more difficult to measure than flexural VSs. This study reports a novel methodology for damage detection of longitudinally vibrating structures relying on their longitudinal VSs. For such structures, damage-caused axial stiffness changes can induce discontinuities in derivatives of their longitudinal VSs, by which the damages can be detected. The capability of the methodology is verified using analytical models of damaged bars. The applicability of the methodology is experimentally validated by identifying a two-sided notch in an aluminum bar whose longitudinal VSs are acquired through 3D laser scanning.

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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