L51647 Welding on Fluid Filled and Pressurized Pipelines-Transient 3D Analysis
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Bibliographic record
Abstract
The objective of this project was to determine if research in Computational Weld Mechanics had matured to the stage where it could simulate the process of welding on a pressurized pipeline and provide useful estimates of the risk of burn-through. To achieve that objective we have compared the results of our FEM analyzes of several welds with the experimental data reported in "http://www.prci.com/publications/L51763.htm" PR-185-9515, Repair of Pipelines by Direct Deposition of Weld Metal: Further Studies. The temperature and deformation predicted by our FEM analysis agrees quite well with the experimental data. The critical input data in addition to the internal pressure in the pipe, the geometry of the pipe, the size and shape of the weld pool including weld reinforcement, are the convection coefficient on the internal pipe surface and the temperature dependence of the viscosity of the pipe metal. Our FEM analysis shows that creep under the weld pool can thin the pipe wall and form a groove. In welds that show significant groove formation and thus high risk of burn through, this groove is significantly deeper than in welds that are at low risk of burn-through. When the pipe wall is thinned by the groove, the internal pipe wall temperature increases under the weld pool. Also the groove could reduce the convection on the internal pipe wall. This would further increase the temperature on the internal pipe wall under the weld pool and further accelerate actual burn-through. In our FEM analysis, we found no significant groove formation in those welds for which no significant groove formation was reported in the PR-185-9515 experiments. We found significant groove formation exactly in those welds that burned-through or were at high risk of burn-through. In those welds, the FEM analyses predicted a somewhat deeper groove than experiment. This suggests the FEM analyses erred on the safe side. In this sense, we conclude that we have succeeded in computing useful estimates of the risk of burn-through using Computational Weld Mechanics. It is notable that almost no use is made of adjustable or tuning parameters. To simulate the actual burn-through we conjecture that we would need to include inertial forces in the stress analysis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it