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Ultrasonic Lamb wave tomography in structural health monitoring
Open accessAbstract
Variations of Lamb wave propagation reflect some changes in effective thickness and material properties caused by such structural flaws as corrosion, fatigue cracks, disbonds and voids that can then be mapped via a reconstructed tomographic image. Ultrasonic Lamb wave tomography can be used to evaluate structural integrity based on the variations in features extracted from measurements made by a transducer array from a reference point in time. In this paper, several tomographic imaging techniques, such as the filtered backprojection algorithm, the algebraic reconstruction technique and the reconstruction algorithm for probabilistic inspection of damage are compared, and the advantages and drawbacks of these methods, as well as practical considerations such as reconstruction fidelity, quality, efficiency and the minimum number of sensors required for each array geometry, are discussed, and some application examples are given.
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Citations
Cites
Principles of Computerized Tomographic Imaging
Kak, A. C., & Slaney, M. (2001) · doi:10.1137/1.9780898719277 · Cited by 5,809
Cited by
Guided wave based structural health monitoring: A review
Mitra, M., & Gopalakrishnan, S. (2016) · Smart Materials and Structures · doi:10.1088/0964-1726/25/5/053001 · Cited by 1,045
Lomazzi, L., Giglio, M., & Cadini, F. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106003 · Cited by 43
Metadata
- Authors
- Zhao, X., Royer, R. L., Owens, S. E., & Rose, J. L.
- Venue
- Smart Materials and Structures
- Publisher
- IOP Publishing
- Published
- 2011-08-23
- Volume
- 20
- Issue
- 10
- Pages
- 105002
- ISSN
- 0964-1726 (ISSN-L)
- 1361-665X
- OpenAlex
- W2079558277
- Cited by
- 191
- References
- 1
- FWCI
- 11.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zhao, X., Royer, R. L., Owens, S. E., & Rose, J. L. (2011). Ultrasonic Lamb wave tomography in structural health monitoring. Smart Materials and Structures. https://doi.org/10.1088/0964-1726/20/10/105002
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