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

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Latest update: 08 Nov 2026
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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.
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