Toward optimized carbon fiber cementitious 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
With physical and mechanical properties comparable to those of concrete, piezoresistive cementitious composites are poised to enable seamless strain and defect monitoring in civil infrastructure. Many research projects have demonstrated the sensing properties of cementitious sensors. The sensitivity, repeatability, and stability of their response are heavily dependent on mix design and fiber dispersion. This paper presents a preliminary framework using microscopy and the Taguchi method for identifying best practices in fabricating cement paste sensors containing carbon fibers. Higher fiber content, the use of a centrifugal mixer, and supplementary cementitious materials significantly improved repeatability, while mixing order and speed had minimal impact. Further research should examine the effects of mixing duration, additional conductive fillers, and environmental factors on the sensitivity, repeatability, durability, and stability of the sensors under both compression and tension at different loading rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.008 | 0.001 |
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