Tensile Strain Characteristics of Small-Scale Fracture Toughness Test Specimens and Large-Scale Tests Under Loading
Bibliographic record
Abstract
Abstract Pipelines are susceptible to significant longitudinal deformation in areas affected by ground movements, including slope movement, frost heave, thaw settlement, and/or erosion. The assessment of tensile strain capacity (TSC) in girth-welded pipes with circumferential cracks, therefore, is of utmost importance when designing pipelines exposed to these geohazards. However, variations in strain calculation and measurement methods can lead to design inaccuracies due to the uneven strain distribution resulting from the inhomogeneous material properties in the weldment region of the pipe containing a crack. This study examines strain characteristics of small-scale single-edge notched tension (SENT) and single-edge notched bend (SENB) specimens under loading, compared to published data from intermediate-scale curved-wide plate test (CWPT) and full-scale (FS) pipe tests from the same pipe material and nominally identical girth welds. The findings in this study reveal that the stress distribution and responses of the SENT specimens closely resemble those of the CWPT and FS tests, exhibiting asymmetrical strains and asymptotic remote strains. It is important to emphasize that the fracture toughness of pipe/weld materials is influenced by the level of constraint at the crack tip. As a result, SENT tests are being used to evaluate the fracture toughness, due to the similarity in constraint between SENT specimens and FS pipes, rather than strain characteristics. The objective of this study is to enhance the understanding and characterization of strain behavior for a girth-welded pipeline.
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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) | 0.001 | 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 | 0.001 |
| 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".