Investigation of scour effects on the vertical bearing capacity of suction caissons considering stress history
Bibliographic record
Abstract
Suction caisson is one of the important forms of marine foundation. It is worthwhile to study scour effects on the vertical bearing capacity of suction caissons, which can provide a reference for the design of multi-caisson foundations. This paper investigated the influence of scour depth, stress history, and aspect ratio on the vertical bearing capacity of suction caissons. The capacity decreases with increasing scour depth, and its scour sensitivity is lower compared with the pull-out response. The capacity after scour is larger when the stress history is considered, so ignoring the stress history leads to a conservative design. The greater the aspect ratio, the greater the scour effect on the capacity. Based on these, an empirical formula for evaluating the vertical bearing capacity of suction caissons after scour is established, which reveals the relationship between the capacity and the scour depth and aspect ratio.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".