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Record W3119414820 · doi:10.22215/etd/2020-14156

Soil structure interaction (SSI) analysis of shear wall buildings with a below-ground parkade

2020· dissertation· en· W3119414820 on OpenAlexaboutno aff
Nanthinee Porchelvam

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsSoil structure interactionFoundation (evidence)Geotechnical engineeringStructural engineeringSeismic analysisEngineeringGround motionShear (geology)KinematicsShear wallGeologyCivil engineeringGeographyFinite element methodPhysics

Abstract

fetched live from OpenAlex

The response of buildings to earthquake is affected by the soil surrounding the below grade portion of the structure, or supporting the foundation. A common seismic design approach is to neglect the soil and analyze the entire free-standing structure for its response to earthquake ground motion applied at the foundation. Soil-structure interaction (SSI) effects are not considered in routine design. Concerns have been expressed whether the foregoing approach is acceptable. The analytical research undertaken in this thesis evaluates the response of shear wall buildings with towers of variable heights, but with a five-level below-grade parkade in Vancouver. The analysis provides insight into the effects of the inertial and kinematic components of SSI, and the results are compared with the traditional approach. The results illustrated that there is magnification in seismic response with SSI, and the effect depends on various parameters. Therefore, ignoring SSI may lead to unsafe design.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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