AN ANALYTICAL INVESTIGATION ON BOLT TENSION OF A FLANGED STEEL PIPE JOINT SUBJECTED TO BENDING MOMENTS
Bibliographic record
Abstract
ABSTRACT: Apparently no analytical method is available to analyze the bolt tension in a flanged pipe joint subjected to flexure taking into account the actual stress distribution at the joint. Conventionally, a method similar to the flexural analysis of beam is sometimes applied on the assumption that bolt tension is proportional to the distance from neutral axis which is far from the actual stress condition. In this paper, an investigation has been carried out to find the effects of various parameters relating to flanged pipe joint connection, so that a definite guideline on determining the bolt tension can be developed. In addition, results are compared with the conventional analysis. To carry out the investigation, a flanged pipe joint subjected to bending has been modeled using finite element method, which also includes contact simulation. In this analysis, shell element has been used for the modeling of pipe and flange. Non-linear spring has been used to model contact surface and bolt. Non-linear finite element method has been used to find out results till failure by yielding of pipe. Joint has been subjected to ultimate moment and under this moment; the maximum bolt tension has been evaluated. Based on the study, an attempt has been made to present a guideline to find out bolt tension that is structurally effective for a flanged pipe joint. The whole process is carried out under various parametric conditions within certain range. It has been found that some parameters like flange thickness,
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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 | 0.000 | 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".