Application for the Rehabilitation of Seismically Deficient Reinforced Concrete Building 'Les Brises du Fleuve V'
Bibliographic record
Abstract
The steel plate shear wall is a very efficient system for reinforcing existing buildings. The system is analogous to a vertical cantilever beam, with columns acting as flanges, the plate as a web and the floor as stiffeners. This is an economical system, as well as having good performance. A steel plate shear wall within the concrete structures shall provide sufficient rigidity to reinforce the concrete structure so as to withstand earthquake loads. This system proved to be cost effective by minimizing construction time and disruption to the tenants. In the rehabilitation of existing concrete buildings, the strategy is to limit drifts so that the concrete elements would remain essentially elastic. The main concern is to provide good transferring forces at the interface of the steel and concrete, plus considering that concrete is less ductile than the steel infill panel. In this project we used both, anchor bolts going through the structural elements and epoxy glue between the steel and the concrete elements over and above the security factor. We can add that our calculations showed that infill plates can be very thin in order to yield and dissipate energy, but from a fabrication point of view, it is difficult for the plates to be less than 3/16" (4.8 mm) thick. We were pleasantly surprised from our analysis and design, that the SPSW system has such a high initial stiffness and remains very ductile for better energy dissipation. It is our understanding that the system is becoming more and more popular because of its excellent rigidity and easy installation.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".