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Record W2575894228

COMPRESSION TESTS ON LARGE SOLID STEEL ROUND BARS

2002· article· en· W2575894228 on OpenAlexaboutno aff
Khaled Sennah, John Wahba

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCompressive strengthStructural engineeringCompression (physics)Stress (linguistics)Materials scienceEngineeringMathematicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

ABSRTACT: Canadian Standard of 1994, CAN/CSA-S16.1-94, and AISC-LRFD Specification of 1993 provide the factored compressive resistance of steel members other than solid rounds. However, the Canadian Standard for Antennas, Towers, and Antenna-Supporting Structures of 2001, CAN/CSA-S37-01, presented expressions for compressive strength of solid rounds, based on results of testing a limited number of solid rounds back to 1965. This paper summarizes the results of testing to-failure six round bars, three of stress-relieved steel and the other three of non-stress-relieved steel. The experimental ultimate load carrying capacity is compared to the superseded expressions found in the CAN/CSA-S-37-94 as well as the new expressions found in the CAN/CSA-S-37-01. This is in addition to the expression found in the AISC-LRFD specification of 1993. Reported testing in this paper is part of an experimental program on performance-based compressive strength of solid steel rounds of different material properties and geometry.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.999

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 integrity0.0000.000
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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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
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

Citations2
Published2002
Admission routes1
Has abstractyes

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