A CASE STUDY OF SEISMIC MODELING AND ANALYTICAL STUDY ON WOODFRAME BUILDINGS IN CALIFORNIA : Analytical study on seismic behavior of wooden construction
Bibliographic record
Abstract
The main objective of this study is to develop numerical models for deterministic nonlinear time-history analyses of woodframe buildings under various earthquake ground motion. The target buildings are prototypical buildings built in California, USA. The three-dimensional nonlinear seismic analysis model considered is "the pancake model" that simulates the three-dimensional seismic response of a woodframe construction through a degenerated two-dimensional planar analysis. The required input parameters for wood shear walls and finishing walls, such as stucco walls and gypsum walls, are obtained either from the specialized computer platform CASHEW developed by CUREE-Caltech Woodframe project, or from available experimental data. The analytical model is confirmed from the comparison to the shaking table tests! The realistic analytical models are developed for three different construction variants for four basic index buildings. Furthermore, these models are modified to represent five different retrofit measures for the index buildings. The seismic performance for all construction is computed and compared using proposed models.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".