An analytical matrix approach for the prediction of the elastic lateral displacements of CLT platform-type lateral load resisting systems
Bibliographic record
Abstract
This study presents an analytical method for the elastic lateral displacement calculation of platform-type cross laminated timber (CLT) lateral load resisting systems using a matrix approach. The current state-of-the-art models for lateral deflection calculation of single- and multi-panel CLT shear-walls systems were extended from single-storey cases to generalized multi-storey multi-panel CLT shear-wall systems. The proposed calculation method was validated against tests on twelve single-storey shear-walls and one two-storey shear-wall from four previously conducted experimental campaigns. The 2D lateral displacement analytical calculation model was then further expanded to the 3D application for CLT lateral load resisting systems through a matrix approach. The matrix method was verified against an analytical-numerical comparison on two case studies. The proposed analytical model forms a solid foundation for a potential implementation of this lateral deflection model for CLT shear-wall systems in the next generation of standards such as Eurocode 5 and CSA O86.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".