SOURCE-LINKED INTELLIGENCE

Load-Deformation Coupling Mechanism of Helical Anchors during Constant-Pressure Torsional Penetration in Stratified Heterogeneous Soils for Offshore Wind

CORDIS · observation · Publication date unknown

ation to clarify interactions between installation, soil properties, and anchor deformation; 3) to build an intelligent tool integrating geotechnical and structural constraints with physics-informed deep learning to predict installation torque and thrust, and decide the optimized anchor geometry and material. Using interdisciplinary expertise and University of Dundee resources, the project aims to deliver: a) Advances in anchor-soil interaction and open-source tools; b) Higher HA TRLs to cut FLOW costs and boost EU energy leadership; c) Societal benefits via accelerated energy transition and reduced environmental impact. The 24-month project comprises five work packages in modeling, analysis, tool development, dissemination, and management, backed by risk mitigation and training. Further, the HELIWIND fellowship is expected to accelerate the ER’s growth from emerging expert to global leader in offshore geotechnics. Helical Anchor, Flowing Offshore Wind, Large-Deformation Numerical Analysis, Deep Learning, Data-Driven Design

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

276187.92

unit

EUR