Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 17, issue 1
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.
https://doi.org/10.5194/ms-17-557-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
22 May 2026
Research article |  | 22 May 2026

Reliability-aware physics-guided enhancement for sparse-path Lamb-wave defect imaging

Peijiang Li and Ting You

Viewed

Total article views: 94 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
59 28 7 94 5 4
  • HTML: 59
  • PDF: 28
  • XML: 7
  • Total: 94
  • BibTeX: 5
  • EndNote: 4
Views and downloads (calculated since 22 May 2026)
Cumulative views and downloads (calculated since 22 May 2026)

Viewed (geographical distribution)

Total article views: 94 (including HTML, PDF, and XML) Thereof 94 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
Short summary
We studied how to locate damage in metal plates when only a few sensor measurements are available. Our method first combines the limited signals in a more reliable way and then sharpens the damage image with a guided learning step. Tests using laboratory measurements and supporting simulated data showed clearer images and more accurate locations. This could make structural inspection more reliable when data are scarce.
Read more
Share