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Record W2017002155 · doi:10.1061/41130(369)18

Vibration Testing of Cantilevered Steel Pole with Partial Concrete Filling

2010· article· en· W2017002155 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStructures Congress 2010 · 2010
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsQueen's University
FundersEmbry-Riddle Aeronautical University
KeywordsStructural engineeringVibrationNatural frequencyFinite element methodModalCantileverModal analysisComposite numberWork (physics)EngineeringMaterials scienceAcousticsComposite materialMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Wind-induced fatigue failure of traffic and light poles has not been sufficiently studied neither has it been used as a design criteria by many pole manufactures. This paper presents the results of experimental testing of a new steel-concrete composite pole. The new pole features a thin-walled hollow steel tube partially filled with concrete near the base. The experimental work aimed to evaluate the natural frequencies of the poles and find the optimal concrete filling length for the best dynamic performance. Experimental results showed that for the tested poles, the optimal length of concrete filling ranged between 37% and 43% of the total length, and yielded 18% to 26% increase in the first natural frequency of the pole. The experimental results were within 10% difference when compared to predicted values using a finite element-based modal analysis. The new optimized composite poles, with natural frequencies higher than the inherited frequencies of typical wind loads, would better endure wind-induced vibrations.

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.

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 score0.299
Threshold uncertainty score0.630

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)0.0000.000

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 head0.010
GPT teacher head0.208
Teacher spread0.199 · 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