Integrating Water and Sanitary Infrastructure in Major Bridge Replacement: King Avenue Crossing, Warren County, Ohio
Bibliographic record
Abstract
The replacement of the King Avenue/Grandin Road bridge over the Little Miami River in Warren County, Ohio, showcases an innovative approach to integrating water and sanitary infrastructure improvements with major bridge projects. Led by Stantec for the Warren County Engineer’s Office in conjunction with the Warren County Water and Sewer Department (WCWS), this project replaced a challenging six-span structure with a new 515-ft, two-span bridge designed to accommodate both improved traffic flow and critical utility upgrades. A key feature of this project was the incorporation of new water and sanitary sewer lines into the bridge structure, enabling the expansion of the local water network and the elimination of an existing sanitary lift station. This integration required careful coordination between structural and pipeline engineering teams to address challenges such as load factors, thermal expansion, and maintenance access. This paper describes the design considerations, implementation strategies, and cost-benefit analysis of integrating utility lines within bridge structures. The King Avenue Crossing project serves as a case study in maximizing public infrastructure investments by combining multiple improvements into a single project, offering insights applicable to future bridge and pipeline projects.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".