Methods for FE Model Updating of Jacket Structures Based on Deep Learning-enabled Multi-Stage Classification

LI Jianwei, HE Yuanshou, JIN Weiwei, AN Wei, WANG Mengxiao, SONG Shasha

Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (6) : 155-163.

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Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (6) : 155-163. DOI: 10.7643/issn.1672-9242.2026.06.014
Ships and Marine Engineering Equipment

Methods for FE Model Updating of Jacket Structures Based on Deep Learning-enabled Multi-Stage Classification

  • LI Jianwei1,2, HE Yuanshou1,2*, JIN Weiwei1,2, AN Wei1,2, WANG Mengxiao1,2, SONG Shasha1,2
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Abstract

The work aims to propose a deep learning-based three-stage classification framework that enables intelligent, end-to-end FEMU for jacket structures to deal with the problems of low efficiency, limited automation, and subjective human decision-making in conventional updating approaches. The framework operationalized a "Qualify-Localize-Quantify (QLQ)" decision process to complete qualitative detection of whether updating was necessary, localization of the regions requiring updating, and quantification of the update severity. A shared feature extractor coupled with a dual-attention design learned informative representations directly from raw structural response data, allowing the system to automate the full updating workflow. Using a dataset of 83 421 load cases with train/validation/test splits of 7∶1.5∶1.5, the proposed method attained strong and consistent performance across all stages: 97.21% accuracy for update detection, 93.92% regional classification accuracy, and 100% accuracy for severity assessment. These results demonstrate that the approach delivers accurate, efficient, and highly automated updating, reducing subjectivity and computational overhead while offering a practical pathway to deploy intelligent FEMU in real-world jacket structures.

Key words

ocean engineering / deep learning / finite element model updating (FEMU) / multi-stage classification / structural response analysis / intelligent updating / jacket structures

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LI Jianwei, HE Yuanshou, JIN Weiwei, AN Wei, WANG Mengxiao, SONG Shasha. Methods for FE Model Updating of Jacket Structures Based on Deep Learning-enabled Multi-Stage Classification[J]. Equipment Environmental Engineering. 2026, 23(6): 155-163 https://doi.org/10.7643/issn.1672-9242.2026.06.014

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