Elastic Interaction in Bolted Flange Joints During Hot Bolting and Disassembly
Bibliographic record
Abstract
Abstract The sequential removal or replacement of bolts of a bolted flange joint, while being considered a simple operation that involves untightening of bolts, can lead to failure of the remaining untightened bolts, damage the gasket, and harm other associated components. Additionally, challenges persist in ensuring system reliability and safety during hot bolting or single replacement of bolts. This paper aims to provide a deeper understanding of the elastic interactions within bolted flange joints during the unloading of bolts such as that conducted during disassembly or hot bolting process. By analyzing the elastic interaction, common issues such as flange integrity loss and component damage can be effectively mitigated. Furthermore, the research seeks to enable more accurate predictions of flange behavior during untightening. This enhanced understanding could facilitate the development of more efficient tools or potentially enable the process to be performed safely without additional tools, provided safety factors are meticulously calculated. Ultimately, this study aims to improve the safety, efficiency, and reliability of systems that utilize hot bolting procedures and disassembly as a whole.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".