Structural performance of fiber reinforced lightweight self-compacting concrete beams subjected to accelerated corrosion
Bibliographic record
Abstract
Lightweight self-compacting concrete (LWSCC) is gaining popularity since it inherits the best properties of both the lightweight concrete (LWC) and SCC. Addition of fibers to LWSCC can further enhance its performance by improving ductility, crack bridging and energy absorption capacity. However, fiber reinforced LWSCC (FRLWSCC) could have durability issues due to its relative high permeability resulting from porous lightweight aggregates (LWA). Hence, proper investigation on durability performance of FRLWSCC is essential for its long term sustainable application. Despite such importance, no significant research findings are available in literature on durability of FRLWSCC. In this study, the durability of FRLWSCC beams were investigated through accelerated corrosion testing. Both corrosion resistance and structural performance of FRLWSCC beams were evaluated. The structural response of un-corroded beams was also assessed and compared with their corroded counterparts. The FRLWSCC was prepared using three types of fibers; i.e., Polyvinyl Alcohol (PVA), Crumb Rubber (CR) and High Density Poly Ethylene (HDPE) fibers. The LWSCC-HDPE beam exhibited superior corrosion resistance as compared to LWSCC-PVA and LWSCC-CR beams. The LWSCC-HDPE beam experienced a lesser amount of mass loss of reinforcement, fewer cracks and less spalling. Moreover, it sustained the maximum residual peak load and showed higher post-cracking shear resistance.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 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".