FLEXURAL DESIGN OF SHAPE MEMORY ALLOY REINFORCED CONCRETE SECTIONS FOR STRENGTH AND SERVICEABILITY REQUIREMENTS
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
Superelastic shape memory alloys (SMAs) have the ability to recover plastic deformations upon unloading. This unique property has motivated researchers to utilize them as primary reinforcement for RC structures located in seismic regions. The lack of understanding the behaviour of SMA RC sections is constraining their use. This thesis investigates the flexural behaviour of SMA RC sections. The validity of the flexural design equations provided by the Canadian Standards for SMA RC sections is evaluated. The load-deflection behaviour of SMA RC members is also investigated. The results are used to assess the applicability of available deflection models for SMA RC members. Artificial neural networks (ANNs) are used to develop a new deflection model. The thesis provides flexural design equations that allow engineers to accurately design SMA RC members for strength and serviceability requirements.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 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