Technical Papers
Feb 13, 2017

Experimental Study of Crack Identification in Thick Beams with a Cracked Beam Element Model

Publication: Journal of Engineering Mechanics
Volume 143, Issue 6

Abstract

Model-based crack identification in beam-like structures has been a classic problem. The authors have recently developed a framework to identify crack damage in beams based on a cracked beam element model, which stems from the local flexibility and fracture mechanics principles. This paper presents an experimental study on the cracked beam element model for crack damage identification in a physical testing environment. Five solid beam specimens were prepared with different numbers of cracks, and they were subjected to a modal testing and analysis procedure to extract the natural frequencies and mode shapes. The extracted modal data were then compared with the predicted counterparts using the cracked beam element model to verify the accuracy of the model. The extracted modal data were also employed to inversely identify the cracks with the cracked beam element model through a model updating procedure. Results indicate that all the cracks can be identified correctly with accurate crack depth and location information. To enhance the modal dataset for finite-element (FE) model updating, the artificial boundary condition (ABC) technique has also been applied on the test beams, and the incorporation of such frequencies proves to enhance the identification of cracks from the FE model updating.

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Acknowledgments

The research reported in the paper is partly funded by the Chinese Scholarship Council and the University of Edinburgh through a joint scholarship for the Ph.D. study of the first author.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 143Issue 6June 2017

History

Received: May 2, 2016
Accepted: Oct 20, 2016
Published online: Feb 13, 2017
Published in print: Jun 1, 2017
Discussion open until: Jul 13, 2017

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Authors

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Chuanchuan Hou
Ph.D. Student, School of Engineering, Institute for Infrastructure and Environment, Univ. of Edinburgh, Edinburgh EH9 3JL, U.K.
Yong Lu, F.ASCE [email protected]
Professor, School of Engineering, Institute for Infrastructure and Environment, Univ. of Edinburgh, Edinburgh EH9 3JL, U.K. (corresponding author). E-mail: [email protected]

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