Fiberglass Pipe Is Helping Solve the World’s Drinking Water Shortage
Bibliographic record
Abstract
With the aim of alleviating the endemic water shortage, the San Diego County Water Authority (SDCWA) initiated the Carlsbad Desalination Project. This project was slated to begin delivering fresh drinking water to businesses and residents by the end of 2015. The plant was designed to convert more than 100 million gallons a day (MGD) of raw seawater into 54 MGD of desalinated drinkable water. This is the first of 12 such plants due to be constructed in California. One unique aspect of this project was the 2,000 LF of large diameter fiberglass pipe which was required for construction in certain areas within the facility. This fiberglass pipe ranged in diameter from 24” to 72”. Designing and building the pipeline involved a number of unique challenges. The pipe had to be buried at depths up to 18 feet, sometimes six feet below groundwater level. This required the pipe to withstand the soil and AASHTO H20 traffic loading as well as resist buckling from the external water pressures. The highly corrosive nature of both the seawater and the chemically treated permeate water, with pH values ranging between 2.5 and 10.5, placed severe demands on pipe, joints and fittings. As a potable water application, the pipe requirements included compliance to the AWWA C950 and ASTM D3517 standards as well as NSF-certification and phthalate free resins. The project specification called for a minimum 30-year service life. The contractor, Kiewit Shea Desalination (KSD), outlined an aggressive construction schedule, requiring the fast-paced production of pipe and fittings to specification. As the chosen supplier of Flowtite filament wound fiberglass pipe for the project, the Thompson pipe group arranged to have the pipe produced in Louisiana. The installation of the large diameter fiberglass pipe included many different joint types and installation methods. The pipe manufacturer provided on-site field crews and technical support throughout the phases of the contract as a construction partner. With pre-cut fiberglass lamination kits shipped from the pipe manufacturer, field butt-wraps were performed in place. In other areas on the project, the contractor took advantage of the Flowtite fiberglass pressure rated couplings eliminating many of the 72” field wraps on the project, which shaved valuable time from the tight installation schedule. In addition to the traditional direct bury installation method, 350 LF of 72” fiberglass pipe was installed using a “jack and bore” application. The pipe manfacturer’s engineers worked with the contractor to design a system to fit within the casing of the jacking tunnel. Using the pressure rated couplings, the pipe sections could be joined together within the tunnel, simplifying the installation process and saving even more time. This project was a difficult project due to the aggressive construction schedule as well as the field quality control requirements. This paper will review this unique project from the aspect of construction, installation and inspection.
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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 | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".