The Quality Test to Tarim River Sluice Concrete by the Rebound Method
Why this work is in the frame
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Bibliographic record
Abstract
The nondestructive examination (NDE) used for concrete defection is a new method of quality testing for concrete and it is characterized by rapid measurement, high precision and low cost. In this article, we introduce the basic principle and the development application of the rebound method. Taking the engineering project in Tarim Dam as an example, we use the rebound method to test the concrete structure in the Tarim River sluice, introduce the test method and approach of the rebound method, and analyze the test result. The result indicates that the nondestructive examination based on the concrete rebound method is an effective method with simple operation, easy operation, convenient use and high computation precision to test the quality of the concrete with large volume and achieve the requirement of the project.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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