Using Accelerated Testing to Indicate Later-Age Chloride Ingress and Bulk Resistivity of Concrete
Bibliographic record
Abstract
Supplementary Cementitious Materials (SCMs) are used in concrete to help improve the durability of the hardened concrete and to reduce global warming potential. Ambient curing does not provide enough time for the SCMs to develop their potential by 28 days, as they typically require 91 days, as allowed in CSA A23.1. Use of optional accelerated curing allows for SCMs to develop more of their potential by 28 days and speed up evaluation for construction acceptance. This study aims to promote the use of accelerated curing for evaluation of SCM concretes in terms of strength, Rapid Chloride Permeability Test (RCPT), and Bulk Electrical Resistivity Test data. These tests were conducted on both cylinders and cores extracted from slabs on concrete mixtures with varying levels of SCMs. The results were then compared to determine if accelerated curing test data can be used for acceptance. The correlation between cylinder and core results are discussed, as well as the correlation between the RCP and bulk resistivity test data. The results show that accelerated curing provides similar or lower permeability results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".