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Record W1975685815 · doi:10.1139/l10-093

Analysis and design of steel plate walls: analytical model

2010· article· en· W1975685815 on OpenAlexaffvenue
Mehdi Kharrazi, Carlos E. Ventura, Helmut G. L. Prion

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsIntecsea (Canada)University of British Columbia
Fundersnot available
KeywordsStructural engineeringShear wallBucklingPlate theoryBendingDisplacement (psychology)EngineeringShear (geology)Boundary value problemStructural systemFinite element methodMathematicsMaterials scienceMathematical analysisComposite material

Abstract

fetched live from OpenAlex

A simple rational model is developed in this paper to determine the structural behavior of steel plate wall (SPW) systems, and is referred to as the Modified Plate–Frame Interaction (M-PFI) model. The model considers bending and shear behavior, and the interaction of the two, for the SPW system. It is a modification of the Plate–Frame Interaction (PFI) model that only considers the shear response of the SPW system. The proposed M-PFI model can determine force and displacement values that correspond to the pre- and post-critical buckling state, the yield state, and the ultimate capacity of individual panels. In the end, design requirements for the beams and columns (also known as horizontal and vertical boundary elements) of the SPW are derived using the underlying theory of the M-PFI model.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.187
Teacher spread0.177 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations17
Published2010
Admission routes2
Has abstractyes

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