ANALYTICAL AND NUMERICAL INVESTIGATION OF THE SITE RESPONSE PERIOD IN THE SAGUENAY REGION, EASTERN CANADA
Bibliographic record
Abstract
Soils' local geological and geotechnical properties may lead to sharp variations of seismic shaking and structural damage at small distances. These so-called seismic site effects significantly impact the amplitude and frequency components of the ground motion. Key site effect parameters are the shear wave velocity of soils (Vs), indicating the material stiffness, and the fundamental vibration period (To), a function of Vs and thickness of the soil units (H) given approximately as To=4H/Vs. This quarter wavelength method often underestimates To values as the nonlinear soil behavior during earthquakes, where stiffness degradation increases the site period, is not accounted for. The present study applies the multi-layered method by Hadjian (2001) and empirical correlations developed with the single-layer approach to calculate To. The Saguenay Lac-Saint-Jean region (SLSJ) was selected as the study area. It is characterized by moderate seismic activity and complex Quaternary stratigraphy, including stiff glacial sediments, and soft Laflamme Sea deposits with recent alluvial plains on top, exhibiting a strong impedance contrast with the underlying crystalline bedrock. Numerical analyses also examined the effects of the soil nonlinearity on To establishing their correlation for different hazard levels according to NBCC 2020 guidelines.
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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 | 0.001 | 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".