Experimental Evaluation Of Compression Strength And Bleed Characteristics Of Cement-Based Grout Made With Photon Attenuating Inclusions
Why this work is in the frame
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Bibliographic record
Abstract
This research investigates the effect of adding high atomic number photon attenuating inclusions (PAI) within cementitious grout used in post-tensioned structures. Because of its advantageous attenuation characteristics, PAI can improve void detection in the target material by increasing contrast in radiographic images.The research involved three experimental tests of grouts made with various ingredients of PAI materials; compression strength tests, bleed tests, and x-ray attenuation tests. In the grout compression tests, cementitious grout specimens were made with conventional grout as well as 10% and 20% weight fraction of PAI materials (BaCO3 and Fe2O3) and 20% of Ottawa Sand, and tested at three different ages. In the bleed tests, tubular specimens were made for conventional grout and grout made with 20% weight fraction of BaCO3, and their bleeding values were recorded up to two hours. In the radiography test, cylindrical specimens were made with concrete specimen as well as conventional grout and grouts made with 10% and 20% weight fraction of BaCO3, and they were exposed to x-ray radiation for certain different times.It was found that the tested PAI materials (BaCO3 and Fe2O3) as well as Ottawa Sand do not have an adverse effect on the grout compression strength. From the bleed tests, it was found that adding barium carbonate within grout decreases significantly the amount of bleed water, comparing to conventional grout. Moreover, it was found that adding barium carbonate within grout increases its ability to attenuate the incident x-ray radiation.
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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 | 0.000 |
| 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