Deformation of laboratory truncated disc samples with stress concentrators
Bibliographic record
Abstract
The article assesses the structural strength of sample materials destroyed on standard equipment for determining the mechanical properties of materials. The distribution of mechanical stresses of laboratory disk samples with stress concentrators in the form of grooves on the support surfaces was analyzed. It was revealed that the disc truncation along the two symmetrical chords allows for varying the type of stress state in the sample and intensity of stresses in the working zone. The problems of the linear theory of elasticity were solved for samples with different degrees of disc truncation and with different geometric parameters of the groove profile. The analysis of disk deformation showed that these laboratory samples can be used in simulating the type and level of stress-strain state of various parts of machines and mechanisms. This factor significantly expands the possibilities for assessing the structural strength of materials during laboratory studies of the materials. It was revealed that the type of stress-strain state (SSS) plays a role in localizing the sources of destruction of highly loaded structural elements made from structural carbon steel St45. The results can be used both for the experimental assessment of the structural strength of materials and for constructing limit state equations corresponding to a SSS level and type.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".