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Record W4388410285 · doi:10.2991/978-94-6463-258-3_17

Effects of Shear Wave Velocity and Thickness of Soil Layers on 1D Dynamic Response in the Saguenay Region, Quebec

2023· book-chapter· en· W4388410285 on OpenAlexaboutno aff
A. S. M. Fahad Hossain, Mohammad Salsabili, Ali Saeidi, Juliana Ruiz Suescun, Miroslav Nastev

Bibliographic record

VenueAtlantis highlights in engineering/Atlantis Highlights in Engineering · 2023
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyShear (geology)Wave velocitySeismologyGeotechnical engineeringPetrology

Abstract

fetched live from OpenAlex

Before reaching the ground surface, the amplitude, duration and frequency content of the vertically propagating seismic waves can be modified by the local stratigraphy and soil physical properties.In this study, we evaluate the impacts of the soil shear wave velocity (V s ) and thickness (H) on the seismic ground response using 1D ground response analysis.Simplified soil profiles typical for the Saguenay Lac-Saint-Jean region (SLSJ) are considered defined with relatively thin glacial sediments overlaid by more than 100m thick marine sequence.Impedance contrasts exist at the bedrock interface and between the fine marine and glacial sediments.Time-domain nonlinear 1D numerical simulations are carried out with Deepsoil®.The seismic input at the bedrock level is defined with synthetic earthquake time histories compatible with eastern Canadian seismo-tectonic settings.It is found that the changes in the Fundamental period of the soil caused by changes in the thickness of the soil deposit and soil V s have a significant impact on the surficial amplification.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.184
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAtlantis highlights in engineering/Atlantis Highlights in EngineeringSame topicSeismic Waves and AnalysisFrench-language works237,207