Residual Mechanical Properties of BPRCC under Cyclic Environmental Conditions
Bibliographic record
Abstract
In this study, the performance of basalt pellet–reinforced cementitious composites (BPRCC) was evaluated after exposure to harsh conditions. The exposure consisted of consecutive 300 freeze–thaw cycles followed by 75 wet–dry cycles simulating successive winter and summer seasons. The mixtures, incorporated general-use cement, slag, and nanosilica, and reinforced with either the recently developed basalt fiber pellets (BP)—basalt fiber strands coated by a polymeric resin—or steel fibers. The resilience of composites was assessed by internal damage, residual compressive and flexural strengths, as well as their compatibility with base/parent concrete, when used in a layered system with normal concrete. The presence of BP at a dosage of 4.5% or 6.9% in the nanomodified cementitious composites effectively discounted the rate of deterioration, resulting in lower reductions in stiffness, compressive and flexural capacities, as well as toughness after the exposure to aggravated environmental conditions. Hence, such composite may present a promising option for construction of exposed infrastructural elements.
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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 | 0.000 | 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 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".