Adaptation of the SonReb method to the mea-surement of the compressive strength of a two-layers concrete structure
Why this work is in the frame
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Bibliographic record
Abstract
The three most common building materials which most structures are built from are: timber, steel and Reinforcement Concrete (RC). Estimating the in-situ compressive strength is an imperative issue to evaluate the performance of in-situ concrete structures during their service life. Most codes and technical recommendations indicate that in-situ concrete strength should be estimated by means of cores, possibly supplemented by Non-Destructive tests. In this study a series of ultrasonic refraction measurements on a two layers slabs (mortar over concrete) are carried out in order to recover the velocity of the compression waves of each layer in view of combining the results with the rebound method in order to estimate the compressive strength of the mortar layer. Accuracy of measurements of compression wave propagation velocities and errors on the estimation of the compressive strength are investigated.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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