Seismic Performance of Reinforced Concrete Wall with Superelastic Shape Memory Alloy Rebar
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The superelastic shape memory alloy (SMA) rebar can significantly improve the seismic performance of reinforced concrete (RC) structures. This study was motivated from a blind prediction contest of a full-scale 7-storey RC shear wall building at the University of California, San Diego. A finite element (FE) analysis was conducted to investigate the seismic performance of RC shear wall with the application of SMA rebar. The SMA rebar was applied at the plastic hinge location of the shear wall only and the steel rebar was used for all other sections. The seismic performance of shear wall was evaluated by performing incremental dynamic analysis (IDA) using 13 ground motions. The seismic demand was recorded in terms of inter-storey drift ratio until the full collapse of the building. The safety of the wall was measured in terms of collapse margin ratio (CMR) explicitly considering the uncertainty. The results show that the SMA rebar significantly improved the performance of the shear wall building and yielded higher CMR as compared to the conventional RC building.
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.
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 it