Strengthening masonry infill walls with reinforced plaster
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
One technique for strengthening masonry infill walls against seismic lateral forces permitted by the Turkish Seismic Code is to add a plaster layer with mesh reinforcement to one face of the wall. The study described in this paper was performed to test and analyse the effectiveness of this technique for lateral loads. In the experimental study five specimens were constructed and tested under cyclic loads. Although the inclusion of the mesh-reinforced plaster layer increased the lateral strength and stiffness of the test specimen 44 and 127%, respectively, one specimen failed prematurely because of insufficient bonding of the dowel reinforcements that were used for transfer shear loads from the frame to the plaster. Direct anchoring of the mesh reinforcement to the reinforced concrete frame instead of using dowel reinforcements in the plaster layer provided a significant improvement in the lateral strength and behaviour of the test specimens. Two alternative layers of materials such as high-strength plaster and shotcrete for improving the strength were used instead of plaster. The most successful lateral performance was obtained from the specimen in which a mesh-reinforced high-strength plaster layer was used. The lateral load-carrying capacity and stiffness of this specimen were increased up to 150 and 250%, respectively.
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