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Record W4237652710 · doi:10.32920/ryerson.14651496.v1

Experimental testing on the compressive strength of solid steel round bars

2021· preprint· en· W4237652710 on OpenAlexaboutno aff
Marwan Saliba

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEurocodeCompressive strengthDiagonalTowerStructural engineeringColumn (typography)Materials scienceEngineeringMathematicsComposite materialGeometry

Abstract

fetched live from OpenAlex

<p> </p> <p>Solid steel round bars are used as legs, diagonals and horizontal members of a communication tower. The Canadian Standards, CAN/CSA-S16.1-94, AISC-LRFD Specifications of 1993, and the European Standard, Eurocode 3, provide the factored compressive resistance of structural steel members other than solid rounds. While, the Current Canadian Standard, CAN/CSA-S37-01 of 2001, for Antenna towers and Antenna Supporting Structures specifies empirical expressions for the compressive strength of solid rounds based on the SSRC column curves for non-solid-round bars and the results from experimental investigation on the compressive resistance of solid rounds carried out back to 1965. This thesis provides a summary of the available literature on the compressive strength of solid rounds as well as the results of recently tested large solid round bars. Correlation between the results from these tests and the current practice for the design of solid rounds is investigated. Recommendations to update the available code equations are drawn.</p>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.945

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.264
Teacher spread0.229 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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