Seismic Performance of Cross Laminated Timber (CLT) Platform Building by Incremental Dynamic Analysis
Bibliographic record
Abstract
The present study performed Incremental Dynamic Analysis on a case study Cross-laminated timber (CLT) platform building. The building was designed for the seismic modification factors of Rd=2.0 and Ro=1.5 for the soil Class C in Vancouver, BC, Canada. A 2D non-linear finite element model was developed in OpenSees. CLT panels were modelled as orthotropic elastic shell elements and the connections were modelled as non-linear springs that account for both uplift and shear deformation. The connections and wall parameters for hysteresis models were calibrated from test results. The seismic performance of the building was evaluated using the 22 bi-axial ground motions. The seismic demand was recorded in terms of inter-storey drift ratio. The results indicated that the case study CLT platform building has a sufficient factor of safety against collapse (Collapse Margin Ratio of 3.1) under a Maximum Credible Earthquake.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".