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Record W2166913457

Selection and scaling of NBCC 2005 compatible simulated ground motions for nonlinear seismic analysis of low-rise steel building structures

2011· article· en· W2166913457 on OpenAlexvenueaboutno aff
KoboevicSanda, Guilini-CharretteKim, CastonguayPierre Xavier, TremblayRobert

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGround motionScalingSeismic analysisBraceNonlinear systemStructural engineeringGeologyEngineeringSeismologyGeotechnical engineeringMathematicsPhysicsGeometry
DOInot available

Abstract

fetched live from OpenAlex

The impact of applying different procedures for selecting and scaling seismic ground motion records and the influence of site conditions on ground motion amplification are examined by investigating the nonlinear seismic response of a building structure. Site class C is investigated for western Canada whereas class D and E sites are studied for eastern Canada. Ground motion records are selected and calibrated using several intensity-based procedures to match the NBCC 2005 design spectra. The focus is on simulated ground motion time histories. Nonlinear analysis of a four-storey concentrically braced steel frame showed that all scaling methods resulted in similar median inelastic brace deformations, in spite of differences between the characteristics of the historical and simulated records. Similar ground motion amplification at class D and E sites is also obtained for simulated and historical records. Simulated records are found adequate for the nonlinear seismic analysis of the structure studied.

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: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.011
GPT teacher head0.203
Teacher spread0.193 · 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

Citations6
Published2011
Admission routes2
Has abstractyes

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