Monitoring and numerical investigation of a rigid inclusions–reinforced industrial building
Bibliographic record
Abstract
This paper describes a case history of a pile-supported industrial structure with an area improvement ratio of 2.2%. Field-monitored data from the contact pressures acting on the pile, the mattress, and underneath the concrete slab; pore-water pressures; settlements; and vertical strains in the inclusions are reported and discussed. The case history is back-analyzed by performing a three-dimensional (3D) finite difference analysis. The measured and computed results are compared and discussed. Based on the field observations of the contact stresses and pore-water pressures and the numerical simulations of the industrial structure construction, it is clear that there was a load transfer from the soil to the piles due to soil arching. The measured contact pressure acting on the pile was approximately six times higher than that acting on the soil located between the piles. Numerical predictions of the stress reduction, differential settlement, and pile strain are consistent with the measured values during construction of the industrial structure. This concurrence of the numerical and experimental data permits evaluation of these behaviors at the end of the industrial building construction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".