IN-PLANE DEFLECTION OF CROSS-LAMINATED TIMBER DIAPHRAGMS
Bibliographic record
Abstract
Cross-Laminated Timber (CLT) is a reliable alternative to heavy structural components due to its dimensional stability and environmental benefits.However, there is currently no universally accepted design method for calculating the load-bearing capacity and deformation of a CLT diaphragm.The main objective of this study is to develop an analytical model for diaphragm deflection calculation when the major direction of panels is perpendicular to the load and confirm the results with the Finite Element (FE) analysis.In the absence of an experimental study aligned with the derived formula, an FE model was developed based on a full-scale diaphragm test subjected to loading parallel and perpendicular to the panel length.A parametric study was performed on the influence of the diaphragm length and the panel-to-panel connection stiffness.The contribution of bending, shear, and connection's slip to the total diaphragm deflection was quantified.The study reveals that the flexibility of the floor is primarily influenced by two factors: the shear deformation of the CLT panels when the load is perpendicular to the panel length and the stiffness of the panel-topanel connection when the load is parallel to the panel length.
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) | 0.000 | 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".