Effect of Various Bedding Conditions on Structural Integrity of Prestressed Concrete Cylinder Pipe
Bibliographic record
Abstract
Prestressed Concrete Cylinder Pipe (PCCP) is one pipe material mainly used in large-diameter and high-pressure transmission main or force main. PCCP was widely used in large utilities because of its low cost and relatively good performance in its early stage of life. However, as PCCP approaches to the end of life, more failures occur. PCCP failures usually occur suddenly without any warning and cause catastrophic consequences, including great economic, societal, and environmental losses. Many factors can cause PCCP failures including design and manufacture, construction and operation, and environmental factors. Among these factors, bedding condition has been identified in forensic studies as a critical factor, especially in mountain areas with rock bedding. However, PCCPs are generally assumed to be rigid pipe and they are placed in poor bedding in some constructions, thus causing pipe failures. In current numerical models used to evaluate structural condition of PCCP, one of the major limitations is inadequate consideration of bedding conditions. This paper analyzes the effect of various bedding conditions on structural integrity of PCCP. A numerical model is developed and the properties of different bedding materials are considered. The pipe components such as coating, prestressing wires, concrete core, and steel cylinder are taken into account. The results of the analysis are summarized and compared. The research presented in this paper provides a better understanding of the importance of good bedding for PCCP. The findings of this research can help utilities better management their PCCP pipelines in various bedding conditions.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".