Performance analysis of the passive heave compensator for hydraulic shipwreck lifting systems in twin-barge salvaging

Zhang, Fengrui; Hou, Jian; Ning, Dayong; Zhang, Wei; Wang, Daoneng; Gong, Yiming

doi:10.1016/j.oceaneng.2023.114469

Cited by 6 publications

(1 citation statement)

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“…To cope with the sea-wave impacts, each hydraulic lifter also used a passive heave compensator (PHC) to reduce tension fluctuation on the slings [5]. Zhang et al in-depth analyzed the performance of this salvage structure and revealed the effect of applying PHCs [6]. Compared with the traditional method, the twin-barge synchronous lifting has a significantly larger carrying capacity and better load stability for shallow regions.…”

Section: Introductionmentioning

confidence: 99%

Semi-Active Heave Compensation for a 600-Meter Hydraulic Salvaging Claw System with Ship Motion Prediction via LSTM Neural Networks

Zhang

Ning

Hou

et al. 2023

JMSE

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Efficiently salvaging shipwrecks is of the utmost importance for safeguarding shipping safety and preserving the marine ecosystem. However, traditional methods find it difficult to salvage shipwrecks in deep water. This article presents a novel salvage technology that involves multiple hydraulic claws for directly catching and lifting a 2500-ton shipwreck at 600 m depth. To ensure lifting stability, a semi-active heave compensation (SAHC) system was employed for each lifter to mitigate the effects of sea waves. However, the response delays arising from the hydraulic, control, and filtering systems resist the heave compensation performance. Predicting the barge motion to mitigate measuring and filtering delays and achieve leading compensation is necessary for the salvage. Therefore, a multivariate long short-term memory (LSTM) based neural network was trained to forecast the barge’s heave and pitch motions, exhibiting satisfactory results for the next 5 s. According to the results of numerical simulations, the proposed LSTM-based motion predictive SAHC system demonstrates remarkable effectiveness in compensating for shipwreck motion.

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Section: Introductionmentioning

confidence: 99%