MétaCan
Menu
Back to cohort
Record W2189187887 · doi:10.1201/9780203861592.ch141

Seismic design of boundary frame members of steel plate shear walls

2009· book-chapter· en· W2189187887 on OpenAlexaboutno aff
Bing Qu, Michel Bruneau

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSteel plate shear wallStructural engineeringShear wallShear (geology)Boundary (topology)Frame (networking)GeologySteel frameEngineeringMaterials scienceComposite materialMechanical engineeringMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

Steel Plate Shear Walls (SPSWs), which consist of infill steel panels surrounded by columns, called Vertical Boundary Elements (VBEs), and beams, called Horizontal Boundary Elements (HBEs), are rapidly becoming an appealing alternative lateral force resisting system for building structures in the United States, Canada, Mexico, Japan, Taiwan and other countries. This paper presents results of some recent research to expand the range of applicability of SPSWs with emphasis on improving the understanding of seismic per- formance of the boundary frame members. Following a brief review of the observed failure of the intermediate HBE from the MCEER/NCREE testing program, the models developed to investigate the behavior of HBEs are presented, followed by design recommendations. Then, analytical models to prevent the in-plane shear yield- ing and to estimate the out-of-plane buckling strength of VBEs are developed, followed by a review of past experimental data to investigate if the previously observed VBE failures were due to excessive VBE flexibilities or other causes. It is shown that the existing VBE flexibility requirement specified in the current design codes is uncorrelated to satisfactory VBE performance. The proposed analytical models predict the performance of previously tested SPSWs that correlates well with the experimental observations.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.186
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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
GenreOther

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicSeismic Performance and AnalysisFrench-language works237,207