Effect of weld-induced imperfections on the ultimate strength of an aluminium patrol boat determined by the ISFEM rapid assessment method
Bibliographic record
Abstract
Marine-grade aluminium alloys are being increasingly used as a hull material of naval vessels, particularly in the case of high-speed patrol vessels for which the requirement for reduced structural weight is critical. Combined with the drive for weight reduction, the demand for operations of aluminium vessels in harsher seaway environments has led to increased interest in the application of limit-state design and analysis procedures, which require evaluation of the ultimate strength of the hull girder. This paper investigates the use of the state-of-the-art rapid assessment procedure ISFEM (intelligent supersize finite element method) to examine the ultimate hull-girder strength under vertical and horizontal bending of a metal inert gas welded aluminium midship section with plate and stiffener scantlings typical of a high-speed patrol vessel. The analysis investigates the effect on ultimate strength of weld-induced imperfections including plate and stiffener distortion, residual stresses and material softening in the weld heat-affected zone.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".