Conector de aço para ligações entre painéis de madeira laminada colada cruzada e entre painéis de madeira laminada colada cruzada e laje de concreto pré-fabricado
Bibliographic record
Abstract
The wood is still being rediscovered as an excellent construction material in Brazil, and mainly, as one of the most ecological material.In the production scene of sustainable building scenario, the constructive system that uses wooden panels – widely used in Europe, United States and Canada – called as Glued Laminated Timber (GLT) and Cross Laminated Timber (CLT), occupies a prominent place, especially for the possibility of using the wood from planted forests.This work developed a steel connector,, to be used in the connections of CLT panels with CLT panels, and prefabricated concrete slabs with CLT panels and therefore, to make an experimental evaluation, through push-out test evaluation, which means shear testing both single and double shear, torsion and flexion evaluations. All that to assert and verify the structural behavior of these connectors in situations of service. The results of these tests will be compared with the results obtained using the equations proposed in EUROCODE design standards 4 and 5, and in test standard EN 26891, 1991.In a first step, it was introduced the general idea of the constructive system in which the connectors are inserted, its constituent elements and its connections. Afterwards the behavior of steel shear connectors in conection to CLT panels, was evaluated in an experimental way using CLT panels and prefabricated concrete slabs. These panels were fabricated (with Eucalyptus Grandis) and analysed in the Laboratory of Experimental Analysis of Structures(LAES) and Advanced Research Center for Wood, Furniture and New Materials (CEPAM III), both from the Structural Engineering Department of Universidade Federal de Minas Gerais – UFMG. In this second stage, the results of the experiment with CLT panels manufactured industrially in the country were evaluated, through advanced manufacturing technology, using Pinus Taeda wood, the experimental results were compared with the methodology recommended by EUROCODE 5 which proved to be conservative and that, in general, we can deduce that the strength properties of the mixed connections of wood and concrete should be evaluated by tests.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".