Damage Mitigation in Reinforced Concrete Shear Walls Detailed with SMA and SFRC
Bibliographic record
Abstract
Today, several studies are conducted to improve the performance of existing structural systems through overcoming the intrinsic limitations of conventional materials and construction techniques. For instance, well-designed conventional structures exhibit satisfactory resistance and ductility under seismic forces. However, they sustain significant damage, which can be identified through two indicatorsthe amount permanent lateral deformations and the extent of sustained local damage. The current paper presents the findings of an experimental study on reinforced concrete (RC) shear walls with improved damage resilience properties. The study included testing of a shear wall reinforced with shape memory alloy (SMA) and conventional steel to reduce residual deformations while maintaining acceptable levels of energy dissipation. Also, for further damage mitigation purposes, the wall was cast with steel fibre reinforced concrete (SFRC), which has improved post-cracking behaviour over normal concrete. As test results revealed, the innovative shear wall sustained less residual drift ratios and concrete damage in comparison to a conventionally built RC specimen. The innovative shear wall also showed significant improvements in ultimate drift ratio due to the elimination of the outmost rebar rupturing. The innovative wall had a higher initial stiffness with respect to the control wall. The wall also dissipated significant amounts of energy.
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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) | 0.000 | 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".