Interfacial transition zone characterization of portland cement mortars containing relatively high dosages of polynaphthalene sulfonate superplasticizers
Bibliographic record
Abstract
The microstructure and interfacial transition zone characteristics of Portland cement mortars prepared with a polynaphthalene sulfate (PNS) superplasticizer at relatively high dosages (0.8%, 1.5% by mass of cement) and varying sand-to-cement ratios (0.5, 1.0, 1.5) were investigated, using AC impedance spectroscopy, mercury intrusion porosimetry, helium pycnometry and two electrical conductance models employing the interfacial excess conductance concept and Bruggeman's asymmetrical effective medium theories. The specimens containing superplasticizer exhibited higher electrical resistance, lower overall porosity and smaller interfacial excess conductance values compared to the corresponding control mortars. Experimental values of sm/sp, the relative conductivity (i.e. the conductivity ratio of mortar and paste) of mortars, are compared with the theoretical curve predicted by the Bruggeman's asymmetrical effective medium theory. All the experimental data falls above the theoretical line, indicating that as a whole the interfacial transition zone effect on electrical resistivity was to reduce resistivity. All the data points for the mortars with the PNS superplasticizer fall below the curves of plain mortars at 1 day and beyond, indicating that the superplasticizer had favorably modified the interfacial transition zone microstructure. The superplasticizer effect contributed to a reduction of electrical conductance of the system, compared to the system without PNS. The addition of large amounts of the PNS superplasticizer did not appear to have negative effects on the transition zone microstructure of the mortars studied.
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".