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Record W2788294481

Dynamic Stability of Deep and Slender Wide-Flange Steel Columns – Full Scale Experiments

2016· article· en· W2788294481 on OpenAlexfundno aff
Ahmed Elkady, Dimitrios G. Lignos

Bibliographic record

VenueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2016
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFlangeStructural engineeringBracingBeam (structure)BucklingColumn (typography)Full scaleEngineeringMaterials scienceConnection (principal bundle)
DOInot available

Abstract

fetched live from OpenAlex

In North America, a common design practice for steel frame buildings with perimeter steel special moment frames (SMFs) is to employ deep and slender wide-flange steel columns (i.e., range of column depth, d > 16 inches). Till recently, very little was known regarding the hysteretic behavior of such members because of lack of available experimental data. This paper discusses selective findings from a full-scale testing program that was conducted at École Polytechnique Montréal with the use of a 6-degree-of-freedom experimental setup. The testing program investigated the cyclic behavior of 10 full-scale beam-columns. The specimens had a depth of 24 inches (i.e., W24x146 and W24x84 cross-sections) and were subjected under various lateral-loading protocols coupled with constant compressive axial load. The boundary conditions of the specimens simulated a fixed support at the column base and a flexible boundary at the column top end to mimic the flexibility of a beam-to-column connection at the floor level. The tested specimens represented typical interior first-story columns in mid-rise steel SMFs. This paper summarizes the main observations related to the effect of local and global slenderness ratios on the cyclic behavior of beam-columns. The effect of bidirectional lateral loading on the dynamic stability of beam-columns is also addressed. Observations related to the effect of the employed loading history as well as the lateral bracing force design requirements on steel wide- flange beam-columns are also provided based on the available experimental results.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.714

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 communication0.0000.001
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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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 designBench or experimental
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

Citations17
Published2016
Admission routes1
Has abstractyes

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