Reinforcement of structures with the use of SLB devices
Bibliographic record
Abstract
The objective of this article is to study the control of the dynamic response of essential structures using SLB device.This type of dissipators has a high initial rigidity that allows it to operate from minimum values of displacement of the structure in the event of an earthquake.The theoretical and practical aspects related to the correct use of these dissipators are explained in detail.The ideal seismic resistance of a structure is that it presents displacements of a rigid system and forces of a flexible system.A rigid -flexible -ductile system presents intermediate responses between a flexible system and a rigid system.The maximum use of this concept in a structure lies in optimizing the use of dissipators and conventional walls to adequately control drifts and at the same time shear forces do not increase considerably in a flexible system.The Anglo-American Clinic was chosen as the existing structure to verify the efficiency of the dissipators.The structure initially presented torsional irregularity and the maximum drifts in both directions exceeded the established limit.With the addition of SLB dissipators on strategically placed decoupled walls, the torsional irregularity was corrected and the maximum drifts were reduced.
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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) | 0.000 | 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) | 0.001 | 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 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".