Site-Specific Site Response Analysis and Cascadia Subduction Zone Ground Motions Evaluation for a Site Near Portland
Bibliographic record
Abstract
Site-specific ground motions, site-specific site response analysis, and development of site-specific acceleration ground spectra at the ground surface was developed per ASCE 7-10 for the Kirkland Renaissance Boardwalk, a site in Vancouver, Washington. Synthetic broadband ground motions developed specifically for Cascadia Subduction Zone (CSZ) megathrust earthquake were used for site-response analysis. The results of site-specific site response analyses using the strong motions were compared with the results from the 5 motions considered for the ASCE 7-10 procedure. The effect of motion duration and other ground motion intensity measures on the results of the site-specific site response analysis was investigated. Similar trends of resulting amplification factors were observed when considering long duration CSZ motions and the 5 historical motions utilized for the ASCE 7-10 site-specific site response analysis procedure. Maximum amplification from the CSZ motions was consistent with the 5 historical motions, although maximum amplification occurred at shorter periods. In addition, the amplification factors at PGA from the CSZ motions were generally higher. It was found that amplification factors developed using 5 historic motions or CSZ-specific synthetic motions did not show a strong correlation with strong motion duration and other ground motion intensity measures. For the CSZ motions, amplification at PGA tended to decrease as intensity parameters increased, but increased as significant duration increased. The trends between maximum amplification and intensity measures were not as apparent for the 5 historical motions. The results of this study highlighted the advantages of performing site-specific site response analysis in reducing uncertainty in design accelerations. This study also indicated the applicability of broadband synthetic CSZ ground motions for the purpose of performing site response analysis.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".