Design and Finite Element Analysis (FEA) of Bulkheads for a Pipe-in-Pipe Flowline: Application of ASME Boiler and Pressure Vessel Code
Bibliographic record
Abstract
Abstract Evaluating a pipe-in-pipe (PIP) system with bulkheads is not explicitly covered by the Canadian Standards Association (CSA) Z662 for oil & gas pipeline systems and refers to the rules in the ASME Boiler and Pressure Vessel Code (BPVC Section VIII, Division 2) as alternative reference code. However, the BPVC does not specifically address the pipeline design. Due to the nonlinear nature of the PIP and bulkhead geometry and loading condition, careful modeling and an appropriate interpretation and application of design criteria by BPVC code are required. The current paper addresses the challenges and recommendations for geometric design of the bulkheads, the appropriate modeling of the problem using FEA method, as well as analysis and accurate interpretation of the results based on the BPVC rules. The bulkhead design was checked per ASME B&PV VIII.2, design-by-analysis, and showed that the assembly has met the criteria for protection against 1) plastic collapse, 2) local failure and 3) failure from ratcheting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".