Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81067
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Title: Quantitative fatigue crack evaluation in pipeline structures using nonlinear cylindrical waves
Authors: Guan, R
Lu, Y
Wang, K 
Su, Z 
Issue Date: Feb-2019
Source: Smart materials and structures, Feb. 2019, v. 28, no. 2, 25015
Abstract: This study comprehensively investigated the interaction between fatigue crack propagation and cylindrical guided waves which were excited and collected by surface-mounted piezoelectric elements on an aluminium pipe to identify the wave nonlinearity induced by the fatigue crack. Numerical simulation and experimental testing were conducted to quantify the relation between the crack length and the wave nonlinearity collected in both transmission and reflection configurations using an appropriate nonlinear index, where the co-existence of flexural wave modes as a wave group at second harmonic was considered. Both numerical and experimental results revealed that the nonlinear index first increased monotonously and then it started to drop with the further growth of the crack, a phenomenon which can be utilised for quantitative assessment of initiation of fatigue cracks. Finally, the differences between the results from simulation and experiment were compared and discussed, where possible reasons for the change in nonlinear index in both approaches were elaborated.
Keywords: Fatigue crack
Nonlinear guided waves
Pipeline structures
Publisher: Institute of Physics Publishing
Journal: Smart materials and structures 
ISSN: 0964-1726
EISSN: 1361-665X
DOI: 10.1088/1361-665X/aaf242
Rights: © 2018 IOP Publishing Ltd
This manuscript version is made available under theCC-BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
The following publication Guan, R., Lu, Y., Wang, K., & Su, Z. (2018). Quantitative fatigue crack evaluation in pipeline structures using nonlinear cylindrical waves. Smart Materials and Structures, 28(2), 025015 is available at https://doi.org/10.1088/1361-665X/aaf242
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