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Web Crippling Strength of Steel Deck Subjected to End One Flange Loading

2004· article· en· W2049304162 on OpenAlexaboutno aff
Onur Avcı, W. Samuel Easterling

Bibliographic record

VenueJournal of Structural Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDeckFlangeStructural engineeringCold-formed steelEngineeringCold formingComputer scienceFinite element method

Abstract

fetched live from OpenAlex

Cold-formed steel deck profiles are extensively used in building construction due to their versatility and economy. Web crippling is one of the failure modes of these multiweb profiles. The provisions for web crippling contained in the 1996 AISI Specification for the Design of Cold-Formed Steel Structural Members are believed to be conservative for multiweb deck sections. They are based on unfastened specimens and are limited to the use of decks with certain geometric parameters. The unified web crippling equation of the 2001 North American Specification for the Design of Cold-Formed Steel Structural Members is also limited to certain geometric parameters. Although new web crippling coefficients for different load cases and different end conditions are contained in the specification, coefficients for the unfastened configuration in the end one flange loading case were used as a conservative solution for the fastened case because there are no test data available in the literature that are applicable to multiweb deck sections. Results of an experimental study on web crippling strength of deck profiles subjected to end one flange loading are presented in this paper. A total of 78 tests were conducted on multiweb deck sections. Test specimens lying inside and outside of certain geometric limitations given in the specification were tested with both unrestrained and restrained end conditions. Test specimens within the specification limitations exhibited conservative results in the prediction of web crippling strength using both the 1996 AISI specification and the 2001 North American Specification. Using the unified web crippling equation of the North American Specification, a nonlinear regression analysis was performed to improve the unfastened case coefficients and derive new fastened case coefficients. A calibration using these coefficients was carried out for both Canadian and U.S. specifications.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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 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

Citations8
Published2004
Admission routes1
Has abstractyes

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