Seismic design of basement walls: evaluation of current practice in British Columbia
Bibliographic record
Abstract
The current state of practice for the seismic design of basement walls in Vancouver is based on the Mononobe–Okabe (M–O) method using a peak ground acceleration (PGA) of 0.46g mandated by the National Building Code of Canada (NBCC). A series of dynamic numerical analyses are conducted to study the seismic performance of basement walls designed for the M–O earth pressures derived from different fractions of the current building code mandated PGA. The walls are subjected to seven ground motions spectrally matched to the uniform hazard spectrum (UHS) prescribed by the NBCC for Vancouver. The analyses show that current engineering practice for designing basement walls based on the M–O method and using a PGA of 0.46g is too conservative. The analyses suggest that a wall designed using a 50%–60% PGA will give an acceptable performance in terms of drift ratio. The results of sensitivity analyses on input parameters are also presented and discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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) | 0.000 | 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 teacher head, 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".