Building a Better Solution—Combining Water Injection and Stone Columns
Bibliographic record
Abstract
The presence of hydro-collapsible soils beneath the proposed Erie Police Station project site led to the successful combination of two ground modification techniques. Normally in the presence of up to 30 ft (9 m) of hydro-collapsible soils, the soils are either over excavated and replaced, or the structure is supported by a deep foundation system. A collaboration between Hayward Baker Inc. (HBI) and GROUND Engineering Consultants (GROUND) resulted in an alternative two step ground modification process. The first step consisted of water injection to pre-collapse, “treat,” the soils to a depth approximately above “perched” water levels, at about 18 ft (5.5 m). Consolidation tests were subsequently conducted on treated soils obtained from across the site to evaluate the effectiveness of the treatment process. In the second step, stone columns were installed to increase the bearing capacity at spread and column footing locations. The combination of these techniques provided the client with a sufficient foundation design that was cheaper and faster to construct when compared to conventional over-excavation and replacement or deep foundation system options.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".