Utilizing Existing Resources: Rehabilitation of 72″ Steel Lock-Bar Pipe
Bibliographic record
Abstract
The Western Bays of Long Island New York were once a productive fishing area. Much of the excess nitrogen in the Bay is attributed to wastewater treatment facilities that discharge directly into the Bays. In an effort to improve the marsh’s ecosystem, the New York State Department of Environmental Conservation (NYSDEC) and Nassau County Department of Public Works entered into a unique partnership to implement a Design–Build project that would remove up to 90% of the nitrogen loading in an already compromised area. Up to 75 million gallons per day (MGD) of wet and dry weather flow needed to be diverted from the Bay Park Sewage Treatment Plant (BPSTP) to the Cedar Creek Water Pollution Control Plant (CCWPCP) to be discharged via the existing ocean outfall at that site. This Bay Park Conveyance Project would require the construction of a 12.4-mi long force main from the South Shore Water Reclamation Facility to the existing Cedar Creek Water Pollution Control Plant (WPCP) outfall. The plan was to utilize 7.3 mi of an existing abandoned 72″ steel lock-bar pipe. This aqueduct would require full rehabilitation of the existing pipeline. The preliminary design for the 72″ pipeline was to rehabilitate the pipe by sliplining with Fiberglass Reinforced Polymer Mortar (FRPM) pipe or Steel pipe. Carbon Fiber Reinforced Polymer (CFRP) lining would be considered, but on very limited sections of pipeline due to installation cost and efficiency. The design criteria developed provided the basis for the system design, including appropriate standards, Mandatory Requirement for performance and/or materials, and product specifications. This paper will review this project in detail from cradle to grave covering aspects from the background with initial design parameters and to the process of final design and construction completion. Included in this presentation will also be lessons learned throughout the design and construction process.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".