Hybrid Ground Improvement Solution in Deep Compressible Glacial Lake Clay
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
A one- to two-story-high behavioral health hospital, designed with shallow foundations for an allowable bearing pressure of up to 95.8 kPa, was proposed in Dearborn, Michigan. Due to the presence of a 23-m-thick deposit of very soft to soft Great Lakes clays, the 1.2-m raise-in-grade and the proposed building were expected to induce as much as 12.7 cm of long-term consolidation settlement, negatively impacting the structure performance. The design-build team proposed hybrid ground improvement methods consisting of Prefabricated Vertical Drains (PVDs) and high modulus Rigid Inclusions (RIs) to overcome design performance and construction time-constraint challenges. Integrated ground improvement systems, coupled with detailed construction monitoring, are more cost and schedule effective than conventional deep foundations for similar projects and geologies. Aided by a thorough instrumentation program, the ground improvement design team was able to make timely decisions to adjust surcharging duration, achieve the necessary settlements, and still meet the project delivery schedule.
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 | 0.000 |
| 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