Fostering a cast-in-place steel–UHPFRC connector for ductile timber–concrete composite structures: parametric study of the shear behaviour and design considerations
Bibliographic record
Abstract
Timber–concrete composite (TCC) structures provide a breakthrough solution for multi-storey buildings. Besides the importance of the connection stiffness, recent research has focused on ductile connectors. This work aims at developing an economic new cast-in-place connector to guarantee the suitable stiffness and structural ductility. A new composite connector has been developed by combining an ultra-high performance fiber reinforced concrete (UHPFRC) shell with an embedded inner steel rod. The former governs the connection stiffness, while the latter governs the connection strength and ductility. To realize a cast-in-place construction method, firstly a wide experimental investigation on the connection shear behaviour with different geometry was carried out. Secondly, the results were analyzed using Winkler’s model, which allowed to define a simplified formula. Finally, a design example of the ductile connectors is presented with emphasis on the importance of a smart design of the connection system for avoiding a brittle structural failure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".