Considering of economies of scale and adjacent infrastructure works in water main renewal planning
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
Optimal strategies for scheduling rehabilitation and/or replacement of water mains can generally be classified as high-level planning of groups or cohorts of pipes, or low-level scheduling of individual water mains, which is the subject of this paper.An approach is proposed for the efficient scheduling of replacement of individual water mains. The approach receives as input the expected number of breaks forecasted for each pipe in a short to medium planning period. The present value (PV) of all costs that are associated with each individual pipe is computed and good candidate pipes for replacement within the planning period are identified. Candidate replacement policies are formulated, including economies of scale considerations as well as coordination with other known infrastructure works. A multi-objective genetic algorithm scheme is used as a tool to search a vast combinatorial solution space for feasible solutions that minimise PV of cost as well as maximise usage of available budgets. Various budget scenarios can also be considered, including global budget for the planning period as well as series of annual budgets for each year in the planning period.
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.
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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 it