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Record W4392520816 · doi:10.1061/9780784485316.036

Seismic Ground Deformation Analyses for the Design of a Large Outfitting Pier in North Vancouver, BC

2024· article· en· W4392520816 on OpenAlexaffabout
Viet Chi Tran, M. Uthayakumar, Nigel Denby, Lance Menzies, John Wyder, Joe Comeau

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPierDeformation (meteorology)GeologyEngineeringStructural engineering

Abstract

fetched live from OpenAlex

This paper presents seismic numerical analysis of a proposed outfitting pier at Seaspan’s Vancouver Shipyards facility, located in North Vancouver, British Columbia. The study focuses on evaluating seismic liquefaction-induced deformation along the pier. Two-dimensional seismic ground deformation analyses were conducted using the finite difference computer program FLAC, incorporating advanced soil constitutive models PM4SAND and PM4SILT to simulate the response of sand and low-plasticity silt layers, respectively. The seismic response was analyzed using a dataset of 30 earthquake records, selected to capture a wide range of seismic scenarios. The analysis indicated that the nearshore slope area experiences the largest ground deformation, with magnitudes ranging from 4 to 6 m toward the downslope to the south. Beyond approximately 150 m from the north end of the pier, the deformation diminishes to insignificance. These findings align with the results obtained from the one-dimensional seismic response analysis, validating the consistency of the FLAC analysis approach. The results of the FLAC analysis were used as input in the structural analyses and design of the proposed pier’s pile foundations.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.262
Teacher spread0.235 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2024
Admission routes2
Has abstractyes

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