Case Study from Trenchless Rehabilitation Evaluation of North McKinney Interceptor Main for North Texas Municipal Water District
Bibliographic record
Abstract
This paper presents a case study of a pipeline rehabilitation project for North Texas Municipal Water District (NTMWD). The North McKinney Interceptor main was constructed in 1992 to convey flow from the City of McKinney to the McKinney Lift Station adjacent to the Regional Wastewater Treatment Plant (RWWTP). The overall main is approximately 44,200 ft long of reinforced concrete pipe and rubber gasketed ASTM C-76 pipe. The second phase of project consisted of evaluating trenchless pipe and manhole rehabilitation to improve 22,540 liner feet of existing 36-, 30-, 27-, and 24-in. diameter sanitary sewer line, referred to as the North McKinney Interceptor Improvements, Phase 2. The subjected pipelines were inspected by CCTV method and condition assessment performed based on ASTM F1216. According to ASTM F1216, the pipelines are classified as “ partially deteriorated condition.” After assessing the condition of pipes, four rehabilitation alternatives proposed. These alternatives included (1) Conventional Method (Open-cut), (2) Cured-in-place pipe, (3) Sliplining, and (4) Spray-applied pipe lining. The objective of this study is to investigate advantage and disadvantage of each proposed alternative and perform cost analysis to find the most reliable and cost-effective method.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".