Analysis of full-scale burst tests by FE modelling using constant CTOA fracture criterion
Bibliographic record
Abstract
Several backfilled full-scale burst tests were recently performed by TC Energy on CSA Z245.1 Grade 550 Category II pipe steels. This paper presents a new interpretation of the recent full scale burst test data using the crack tip opening angle (CTOA) as fracture propagation criterion. ASTM E3039 was used to determine the CTOA of the pipe steels used in the tests. Correlations of fracture velocity with CTOA and with Charpy absorbed energy CVN were compared. A finite element (FE) model with shell elements and a constant CTOA fracture criterion was implemented for the simulation of dynamic fracture propagation. The commercial FE code ABAQUS was used to generate the models and perform the analyses. The CTOAs determined from ASTM E3039 were used as input to the model and the fracture velocities found from the simulations were in good agreement with experimental values. The polyurethane foam coating used in the tests was incorporated in the model and shown to have a significant effect on the predicted fracture velocity. The fracture resistance curves (pressure vs. velocity) from the present model were compared with those proposed in the HLP-Sumitomo model and shown to be in approximate agreement.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".