Numerical Analysis of Mooring-Induced Trenches in Floating Offshore Wind Turbines

Abstract Floating offshore wind turbines (FOWTs) are significantly influenced by their mooring systems, where the complex interaction between anchors, mooring chains, and seabed soil can lead to trench formation. This trenching phenomenon can adversely affect the overall performance and operational safety of FOWTs. In this study, a coupled numerical modeling approach is developed to systematically investigate the evolution of seabed trenches induced by mooring chains, considering both the dragging and embedded sections. An innovative multibody dynamic model of the anchor chain–seabed system is established, characterizing the trench formation process through motion equations for three stages: the underwater, dragging, and embedded sections. A detailed anchor chain–soil interaction model is also constructed using abaqus. Full-scale simulations validate the proposed method with a calculation error below 6.4%. A life-cycle case study of a 5-MW catenary-moored FOWT shows that the maximum trench depth can reach 3.1425 m over 20 years. Additionally, the influence of trench formation on fatigue limit state (FLS), ultimate limit state (ULS), and accidental limit state (ALS) limit state evaluations—specifically mooring line tension and platform motions—is quantified. The proposed coupled analysis method offers a practical tool for mooring system design and presents potential for improving both reliability and cost-effectiveness in FOWT projects.

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Publication Details

Journal
Journal of Offshore Mechanics and Arctic Engineering
Published
2025-08-28
DOI
https://doi.org/10.1115/1.4069637
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
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article

Numerical Analysis of Mooring-Induced Trenches in Floating Offshore Wind Turbines

Milad Shadman, Yuchen Gu, Jixiang Zhang, Segen F. Estefen
Journal of Offshore Mechanics and Arctic Engineering
Wave and Wind Energy Systems
article

Numerical Analysis of Mooring-Induced Trenches in Floating Offshore Wind Turbines

Milad Shadman, Yuchen Gu, Jixiang Zhang, Segen F. Estefen
article en

Abstract

Abstract Floating offshore wind turbines (FOWTs) are significantly influenced by their mooring systems, where the complex interaction between anchors, mooring chains, and seabed soil can lead to trench formation. This trenching phenomenon can adversely affect the overall performance and operational safety of FOWTs. In this study, a coupled numerical modeling approach is developed to systematically investigate the evolution of seabed trenches induced by mooring chains, considering both the dragging and embedded sections. An innovative multibody dynamic model of the anchor chain–seabed system is established, characterizing the trench formation process through motion equations for three stages: the underwater, dragging, and embedded sections. A detailed anchor chain–soil interaction model is also constructed using abaqus. Full-scale simulations validate the proposed method with a calculation error below 6.4%. A life-cycle case study of a 5-MW catenary-moored FOWT shows that the maximum trench depth can reach 3.1425 m over 20 years. Additionally, the influence of trench formation on fatigue limit state (FLS), ultimate limit state (ULS), and accidental limit state (ALS) limit state evaluations—specifically mooring line tension and platform motions—is quantified. The proposed coupled analysis method offers a practical tool for mooring system design and presents potential for improving both reliability and cost-effectiveness in FOWT projects.

Journal of Offshore Mechanics and Arctic EngineeringVol. 148(1)
Universidade Federal do Rio de Janeiro (BR), Universidade do Estado do Rio de Janeiro (BR), Centro Universitário da Cidade (BR), Ocean Energy (Norway) (NO), Fundo Brasil (BR)
China Scholarship Council
Openalex Percentile: Top 72%
Wave and Wind Energy Systems
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Numerical Analysis of Mooring-Induced Trenches in Floating Offshore Wind Turbines — Milad Shadman, Yuchen Gu, et al. · Journal of Offshore Mechanics and Arctic Engineering (2025) | TGRS Research Map | TGRS