Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-207-2026
https://doi.org/10.5194/ms-17-207-2026
Research article
 | 
10 Mar 2026
Research article |  | 10 Mar 2026

Dynamic stress monitoring and analysis of cranes based on digital-twin modeling

Guoping Yan, Xiaowei Yang, Jiansheng Zhang, Qi Tao, and Yang Li

Viewed

Total article views: 225 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
173 44 8 225 6 8
  • HTML: 173
  • PDF: 44
  • XML: 8
  • Total: 225
  • BibTeX: 6
  • EndNote: 8
Views and downloads (calculated since 10 Mar 2026)
Cumulative views and downloads (calculated since 10 Mar 2026)

Viewed (geographical distribution)

Total article views: 226 (including HTML, PDF, and XML) Thereof 226 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Apr 2026
Download
Short summary
This study develops a digital-twin framework for real-time structural stress monitoring of crane structures. Integrating finite-element analysis with a radial basis function surrogate model, it enables dynamic stress prediction and visualization. Experimental results show an average prediction error of 8.29% compared to simulations and 9.98% against measured data, providing a reliable technical tool for structural health monitoring and safety.
Share