Data supporting the publication: Gaussian copula-based Bayesian Networks for dynamic loads in mooring systems
收藏DataCite Commons2026-02-10 更新2026-03-28 收录
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https://data.4tu.nl/datasets/c057e1b1-b4df-452b-8493-682701554864/1
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资源简介：
This dataset contains numerically simulated mooring‑line tensions for 12 offshore locations in the south‑eastern North Sea. Hydrodynamic inputs (waves and currents) from a large‑scale 3D numerical model were used to drive a Finite Element model of a flexible mooring line, producing tension responses and derived tension‑rate indicators of snap loads. The data support research on how varying environmental conditions influence mooring‑line behaviour and snap‑load risk.<br>Data presented here are tensions within a mooring line, from numerical mooring line, which is described here: http://dx.doi.org/10.2139/ssrn.5271454The research done using this data is published here: https://doi.org/10.1016/j.apor.2025.104809 <br>
提供机构：
4TU.ResearchData
创建时间：
2026-02-10
