Analytical Model Development for CLT Diaphragms Loaded Perpendicular to the Length of Panels
Bibliographic record
Abstract
The main objective of this study was to develop an analytical model for predicting the diaphragm deflection and the induced shear force at the panel joints when the applied load is perpendicular to the panel length. An equivalent finite-element model was developed to capture the elastic behavior of the diaphragm made from the panels and the connections in between. The analytical model’s predictions were compared with predictions from finite-element models. The results of an experimental test were used to partially validate the analytical and numerical models in the absence of full-scale diaphragm test data. A sensitivity analysis was carried out with the aim of finding the most influential parameters in the behavior of the cross-laminated timber (CLT) diaphragm. The connection’s stiffness and diaphragm size were varied. The difference in diaphragm deflection was investigated, and it was found that under realistic material properties and geometry, the diaphragm deflection was not strongly related to the connection’s stiffness. However, the floor’s geometry was the key influencing parameter. A parametric study was performed, and the contribution of each deflection component was quantified for each specific case. It was observed that the floor’s flexibility was dominated mainly by the shear deflection of the cross-laminated timber panels as well as the slip in the panel joints as the length of the diaphragm increased. This study proposes a method that designers may use to estimate the in-plane displacement of the cross-laminated timber diaphragm when it is loaded perpendicular to the panel’s length.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".