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Prediction of residual stresses in GFRP strips under wind-sand erosion by interpretable machine learning methods: feature engineering and SHAP analysis

Crossref DOI link: https://doi.org/10.1007/s41939-025-00833-z

Published Online: 2025-04-15

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ren, Wenhao

A, Siha

Zhou, Changdong

Ma, Jiaxing
Funding

Funding for this research was provided by:

Natural Science Foundation of Inner Mongolia Autonomous Region of China (Grant No. 2024QN05010)

Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region (Grant No. NJZZ23077)

Basic Scientific Research Expenses Program of Universities directly under Inner Mongolia Autonomous Region (Grant No. JY20250089)

National Natural Science Foundation of China (Grant No. 52108177)

Key Research and Development Program of Ningbo (No. 2022Z165)

International Scientific and Technological Cooperation Program of Ningbo (2023H008)
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Text and Data Mining valid from 2025-04-15

Version of Record valid from 2025-04-15
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Article History

Received: 6 February 2025

Accepted: 7 March 2025

First Online: 15 April 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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