Carbon-fiber-reinforced cement-based sensors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The addition of carbon fibers has proved to be one of the most effective ways of improving the electrical conductivity of ordinary cement pastes. This implies that such materials can be used in strain, temperature, and chemical sensing. The present study was aimed at the development of such sensors. Inexpensive, petroleum-pitch-based, mesophase, high-modulus carbon fibers were used throughout. It was seen that materials with high conductivity could be obtained by reinforcing hydrated cement paste with carbon fibers. Electronic conduction was seen as the dominant mode over electrolytic conduction. Compared with strain, the influence of temperature on the electrical resistivity was found to be insignificant, implying a lack of need for temperature correction. Results also indicate that these sensors can be excellent crack detectors.Key words: carbon-fiber-reinforced cement-based composites, structural health monitoring, sensor, electrical resistivity, compressive strain, temperature, moisture content, chloride concentration, fiber volume fraction, water/cementitious ratio, cracking.
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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) | 0.002 | 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