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

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

doi:10.5194/ms-17-207-2026

Articles | Volume 17, issue 1

https://doi.org/10.5194/ms-17-207-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/ms-17-207-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 1

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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Cumulative views and downloads (calculated since 10 Mar 2026)

Month	HTML	PDF	XML	Total
Mar 2026	127	30	6	163
Apr 2026	138	42	1	181
May 2026	104	293	7	404
Jun 2026	21	5	2	28
Jul 2026	145	16	6	167
Aug 2026	102	14	1	117
Sep 2026	154	53	17	224

Latest update: 27 Sep 2026

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.