Seismic Reliability Analysis of Diagonal-Braced and Structural-Panel-Sheathed Wood Shear Walls
Bibliographic record
Abstract
Reliability-based assessment of seismic performance of wood shear walls needs to consider many uncertainties arising from earthquake ground motions, material properties, carried mass, and analytical models. Using a response surface method with importance sampling, this paper presents a seismic reliability analysis on eight types of diagonal-braced and structural-panel-sheathed shear walls which are commonly used in modern post-and-beam wood buildings. A recently developed wood shear wall model was used to simulate the seismic response of the shear walls. The shear wall model parameters were calibrated and verified using a reversed cyclic test database. Peak wall drift was chosen as the performance criteria to estimate the failure probabilities of the walls with respect to two performance expectations. The results presented herein showed that the seismic reliability of the structural-panel-sheathed walls was higher than that of the diagonal-braced walls.
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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) | 0.000 | 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) | 0.000 | 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".