Validation of a Truss Finite Element for Mooring Applications via Code-to-Code Comparisons

Abstract This paper describes a finite element formulation based on a truss element which offers a computationally efficient and robust method for the numerical modelling of mooring lines. Maritime station keeping via mooring encompasses a wide range of applications, but it is envisaged that this truss element will be most productively employed in the energy industry, particularly in the increasingly important sector of floating offshore wind. The truss element has been added to an existing mid-fidelity tool which is capable of performing fully coupled aero-hydro-servo-elastic simulations of floating wind turbines in the time domain. In this study, a sample simulation model considers heavy steel chain in a catenary mooring configuration, suitable for mooring a traditional semi-submersible platform hosting a large wind turbine. A secondary case considers a weather buoy moored with lightweight polyester rope, highlighting the versatility of the truss element for use in a variety of mooring applications. Results from the truss formulation are validated via benchmarking against a third-party numerical modelling tool which is well-established in floating offshore wind, and the most widely used simulation tool for mooring system design in offshore oil and gas. The comparison tool also offers a simplified quasi-static mooring model, thereby providing ample opportunity for benchmarking and validation. The truss element formulation is shown to be numerically accurate, computationally efficient and dynamically robust. Its speed of execution may help to promote the use of full finite element models over more simplistic quasi-static approaches during preliminary design phases.

Authors

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1115/omae2025-155124
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of a Truss Finite Element for Mooring Applications via Code-to-Code Comparisons

Aengus Connolly, Oisín Conway, Donogh Lang
Wave and Wind Energy Systems
article

Validation of a Truss Finite Element for Mooring Applications via Code-to-Code Comparisons

Aengus Connolly, Oisín Conway, Donogh Lang
article en

Abstract

Abstract This paper describes a finite element formulation based on a truss element which offers a computationally efficient and robust method for the numerical modelling of mooring lines. Maritime station keeping via mooring encompasses a wide range of applications, but it is envisaged that this truss element will be most productively employed in the energy industry, particularly in the increasingly important sector of floating offshore wind. The truss element has been added to an existing mid-fidelity tool which is capable of performing fully coupled aero-hydro-servo-elastic simulations of floating wind turbines in the time domain. In this study, a sample simulation model considers heavy steel chain in a catenary mooring configuration, suitable for mooring a traditional semi-submersible platform hosting a large wind turbine. A secondary case considers a weather buoy moored with lightweight polyester rope, highlighting the versatility of the truss element for use in a variety of mooring applications. Results from the truss formulation are validated via benchmarking against a third-party numerical modelling tool which is well-established in floating offshore wind, and the most widely used simulation tool for mooring system design in offshore oil and gas. The comparison tool also offers a simplified quasi-static mooring model, thereby providing ample opportunity for benchmarking and validation. The truss element formulation is shown to be numerically accurate, computationally efficient and dynamically robust. Its speed of execution may help to promote the use of full finite element models over more simplistic quasi-static approaches during preliminary design phases.

Openalex Percentile: Top 74%
Wave and Wind Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.