Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106432
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Title: Adaptive damage localization based on locally perturbed dynamic equilibrium and hierarchical clustering
Authors: Cao, S 
Ouyang, H
Cheng, L 
Issue Date: Jul-2019
Source: Smart materials and structures, July 2019, v. 28, no. 7, 075003
Abstract: Pseudo-excitation (PE) method is a recently developed damage identification method for flexible structures containing components like beams, plates and shells. Characterized by the high-order spatial derivatives, the approach has been shown to feature a high sensitivity to local damage. However, two major issues, i.e. susceptibility to measurement noise and unknown material/structural properties, hamper its practical applications. To tackle these problems, an adaptive damage localization method is proposed for plate-type structures, which combines the PE method with hierarchical clustering. In the proposed method, a general dynamic equilibrium model, involving unknown material/structural properties, is statistically identified and further used for damage localization. Moreover, noise-induced effects are quantified by using a hierarchical clustering for performance assessment of damage localization and process optimization of spatial derivative estimation to achieve more accurate damage localization. Meanwhile, a data fusion scheme is developed to avoid blind inspection zones, thus enhancing the capability of damage localization. Both numerical and experimental studies of cantilever plates containing two damage zones are conducted to validate the feasibility and the effectiveness of the proposed adaptive damage localization method. Results demonstrate that the proposed method outperforms the traditional PE method in terms of detection accuracy and robustness.
Keywords: Damage localization
Hierarchical clustering
Local dynamic equilibrium
Pseudo-excitation
Spatial derivatives
Publisher: Institute of Physics Publishing Ltd.
Journal: Smart materials and structures 
ISSN: 0964-1726
EISSN: 1361-665X
DOI: 10.1088/1361-665X/ab1abe
Rights: © 2019 IOP Publishing Ltd
This is the Accepted Manuscript version of an article accepted for publication in Smart Materials and Structures. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/1361-665X/ab1abe.
This manuscript version is made available under the CC-BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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