FPSO Mooring System Simulation and Optimization Data

Simulation, training, and optimization data supporting a 2026 research publication on Floating Production Storage and Offloading (FPSO) units. The dataset, 65.2 MB in size, was created by Jiaqi Zhang and colleagues to capture non-linear fluid-structure-mooring interactions under extreme environmental conditions. It is stored in DAT and XLSX file formats.

Use Cases

• Train surrogate models to predict mooring line tensions from environmental load parameters like wave height and current velocity.
• Optimize mooring system configuration parameters, such as anchor positions and line lengths, to minimize peak loads.
• Validate high-fidelity fluid-structure interaction simulation results against the provided training data.
• Analyze the relationship between extreme environmental condition inputs and resulting FPSO motion and mooring system response outputs.

Strengths

• Data underpins a peer-reviewed 2026 publication in Ships and Offshore Structures.
• Systematically captures highly non-linear interactions for a complex engineering system.
• Released under a permissive CC-BY-4.0 license for clear reuse.

Limitations

• Small dataset scale at 65.2 MB, limiting the scope for large-scale machine learning.
• Specific row count, column names, and data granularity are not provided.
• Geographic and temporal context for the simulated environmental conditions is unspecified.

Provenance

Source

Generated by the authors for the associated research manuscript.

Collection Method

Integrated simulation framework capturing fluid-structure-mooring interactions.

Freshness

Data was last updated in April 2026, indicating recent research.