Soil Dynamic Response and Site Amplification Parameters for Saguenay, Eastern Canada
Bibliographic record
Abstract
Site effect is an important topic in earthquake engineering and seismic risk analyses. It is widely acknowledged that during the vertical propagation of the seismic waves, this phenomenon generally contributes to amplification of the resulting surface ground motion with respect to the local stratigraphy, surface topography, impedance contrast, and the mechanical properties of the surficial sediments This may lead to significant variation of the seismic shaking and structural damage at short distances. The standard procedure in the site-specific seismic hazard analysis is to evaluate the site effects using local amplification factors (AFs) or dynamic site response simulations. The common indicator of the variety of site conditions is the time-averaged shear wave velocity of the en first 30 m (Vs30). However, Vs30 alone may often not be sufficient to adequately assess the site effects and it is often combined with the fundamental vibration period (Tnat). The Saguenay Lac-Saint-Jean region (SLSJ) is characterized with moderate seismic activity and a typical Quaternary stratigraphy consisting of stiff glacial sediments at the base, soft post-glacial Laflamme Sea sediments and more recent alluvial planes. Important impedance contrast exists between the crystalline bedrock and the overlying surficial deposits. In this study, we analyse the site dynamic response through 1D linear and nonlinear simulations using representative soil profiles and earthquake motions. Typical parameters are evaluated to develop amplification functions for the region.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".