Improve the design process of pile foundations using construction control techniques
Why this work is in the frame
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Bibliographic record
Abstract
In recent years, the precise design of the pile foundations has gained considerable attention due to its important role in the cost management of the civil projects. While the piles are mostly designed using static analysis methods, their resistance during the construction process is controlled by other control methods. This inconsistency increases the cost and the delay in the construction plan. In order to address these issues, new approaches for a more reliable and economically efficient design of the piles incorporate the effects of construction control techniques in the initial design. In this paper, we use the results of the Dynamic load test (DLT), the static load test (SLT), and the dynamic formulas to improve the resistance factor of the LRFD method for the initial design. The results show that the DLT at BOR and the SLT have the greatest effect in increasing the resistance factors of the static analysis methods.
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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) | 0.000 | 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