Assessment of the Environmental Effects on the Performance of FRP Repaired Steel Pipes Subjected to Internal Pressure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The use of composite materials for repair and rehabilitation of corroded steel pipes has been increasingly growing in the oil and gas industry. However, there exists a noticeable gap in the literature on the long term performance of composite repaired pipes, especially those subjected to large internal pressure magnitudes. This work is an attempt toward filing the gap by gaining a better understanding of the effects of environmental conditions on the long term performance of composite repaired pipes subjected to large internal pressures. Finite element method (FEM) is used to simulate typical composite warp-repaired gouged steel pipes, conditioned in various environments and subsequently subjected to internal pressure. The influence of the resulting degradation in composite’s mechanical properties on the performance of the system was evaluated. To validate the results, an experimental program was designed and carried out. Repaired specimens were conditioned in an environmental chamber under certain thermal and moisture conditions; then, the specimens were tested to failure subject to internal pressure. Good correlation was obtained after fine tuning of FEM model’s material data through the use of the experimentally obtained data.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it