Table · dataset · 2026
Table 1_RAO-driven dynamic assessment of a subsea-manifold installation at 1526 m water depth.docx
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<p>Installing a large asymmetric subsea structure in ultra-deep water requires coordinated control of vessel motion, long-wire compliance, splash-zone hydrodynamics, crane and rigging capacity, resonance, and final-approach velocity.
Description
This study develops an RAO-driven one-way coupled time-domain assessment of the Normand Oceanic crane-wire-rigging-Manifold E3 system in OrcaFlex. Vessel and crane-tip motions are prescribed from displacement response-amplitude operators, while the nonlinear hoisting lines, rigging, and six-degree-of-freedom payload respond dynamically without feedback to the vessel solution.
The analysis covers six installation stages from half-submerged entry to a controlled approach 10 m above the seabed at 1526 m water depth. Stage-specific calculations quantify crane-tip, hook, and sling forces, dynamic amplification, natural-period migration, and approach velocity for spectral peak periods of 4–11 s and three project headings. The hydrodynamic formulation distinguishes the 43.51 t displaced-water reference mass from the 1874.90 t vertical added mass used in the dynamic model.
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At a 165° wave heading, the most restrictive condition occurs during the final approach when active heave compensation is off: the allowable significant wave height decreases to 0.6 m at a peak period of 11 s, whereas all investigated AHC-on cases satisfy the acceptance criteria at H<sub>s</sub> = 3.0 m. The resulting stage-resolved workflow links hydrodynamic loading, hoisting-system dynamics, equipment capacity, clearance, and final-approach control in a traceable operational framework that supported engineering planning for the field installation.</p>
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Where it is published
- DOI doi.org/10.3389/fmars.2026.1951772.s001 ↗
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Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
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- Maritime engineering 73% · Tabular 65%
Provenance · 1 source records, 18 field assertions
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