Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-557-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
22 May 2026
Research article |
| 22 May 2026
| 22 May 2026
Reliability-aware physics-guided enhancement for sparse-path Lamb-wave defect imaging
Related authors
Mech. Sci., 17, 167–182, 2026
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Chen, C.-D., Shen, Y.-J., Chou, P.-Y., and Wang, P.-H.: A Lamb-wave based SHM for multi-damage localizations in large composite plates by using piezoelectric transducer array, Smart Mater. Struct., 33, 045028, https://doi.org/10.1088/1361-665X/ad3160, 2024. a
Gao, Y., Sun, L., Song, R., Peng, C., Wu, X., Wei, J., Jiang, M., Sui, Q., and Zhang, L.: Damage localization in composite structures based on Lamb wave and modular artificial neural network, Sensor. Actuat. A-Phys., 377, 115644, https://doi.org/10.1016/j.sna.2024.115644, 2024. a
Gonzalez-Jimenez, A., Lomazzi, L., Junges, R., Giglio, M., Manes, A., and Cadini, F.: Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach, Struct. Health Monit., 23, 1514–1529, https://doi.org/10.1177/14759217231189972, 2024. a
Huang, L., Luo, Z., Zeng, L., and Lin, J.: Detection and localization of corrosion using the combination information of multiple Lamb wave modes, Ultrasonics, 138, 107246, https://doi.org/10.1016/j.ultras.2024.107246, 2024. a
