Drag anchor behaviour in soft clay deposits: model investigation in transparent clay surrogate and analytical predictions
Bibliographic record
Abstract
As the offshore energy industry begins to develop wind farms in areas of deeper water, the use of traditional foundations such as shallow foundation and driven hollow steel tube piles becomes uneconomical. The deployment of floating turbines and continued development of novel/efficient anchoring systems for these structures will be an important factor in the continued growth of the sector. This paper presents an investigation carried out as part of a proof-of-concept for a novel “bi-wing anchor”. This design will allow a plate anchor to be dropped through the water column and then penetrate the seabed under its own weight. The anchor will then be dragged causing it to embed further into the seabed and provide a greater holding capacity. This paper focuses on experimental as well as analysis of the drag embedment behaviour during the installation and pull-out phases. The physical modelling investigations were carried out in a transparent clay-surrogate which enabled observation of the anchor’s orientation during installation. The predictions using analytical modelling showed good agreement with the observed behaviour at varying embedment ratios.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".