A Seq2Seq-Attention Hybrid Network-based Method for Structural Response Prediction of Jacket Platforms

ZHU Dongxu; ZHANG Renlong; CHANG Yidong; ZHANG Wenming; ZHENG Shiyu; ZHANG Xinping; YANG Bo; LIU Lei

doi:10.7643/issn.1672-9242.2026.04.016

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Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (4) : 168-177. DOI: 10.7643/issn.1672-9242.2026.04.016

Ships and Marine Engineering Equipment

A Seq2Seq-Attention Hybrid Network-based Method for Structural Response Prediction of Jacket Platforms

ZHU Dongxu, ZHANG Renlong^*, CHANG Yidong, ZHANG Wenming, ZHENG Shiyu, ZHANG Xinping, YANG Bo, LIU Lei

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Abstract

To address the challenge of structural response prediction for jacket platforms in complex marine environments, the work aims to propose a hybrid deep learning prediction model based on the Sequence-to-Sequence (Seq2Seq) architecture, cross-attention mechanism, and Gated Recurrent Unit (GRU). By employing a dual-branch GRU encoder to extract temporal dependencies between historical marine environmental features and historical load sequences, the model achieved effective integration of future environmental sequences and historical information through the cross-attention mechanism, and utilized a two-layer GRU decoder to generate multi-step load predictions. Then, the model was trained end-to-end with the AdamW optimizer and a cosine annealing learning rate scheduling strategy. The proposed method achieved high prediction accuracy, with a coefficient of determination (R²) of 0.996 5, showing excellent agreement between predicted and actual values. The method effectively captures the complex coupling relationship between the marine environment and structural loads, and its attention weights exhibit good interpretability, providing a reliable intelligent tool for operational decision-making and structural health management of jacket platforms.

Key words

jacket platform / structural response prediction / sequence-to-sequence model / attention mechanism / gated recurrent unit / deep learning

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ZHU Dongxu, ZHANG Renlong, CHANG Yidong, ZHANG Wenming, ZHENG Shiyu, ZHANG Xinping, YANG Bo, LIU Lei. A Seq2Seq-Attention Hybrid Network-based Method for Structural Response Prediction of Jacket Platforms[J]. Equipment Environmental Engineering. 2026, 23(4): 168-177 https://doi.org/10.7643/issn.1672-9242.2026.04.016

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