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Record W206224183

Flexural strength of circular monopole flange connections.

2003· article· en· W206224183 on OpenAlexaboutno aff
Venisri. Nagulapati

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2003
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsnot available
Fundersnot available
KeywordsFlexural strengthMagnetic monopoleFlangeStructural engineeringGeologyGeometryMathematicsPhysicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

This investigation focuses on the flexural strength of circular flange connections in monopoles with particular attention to the role of stiffeners. Four finite element models---(a) 25.4 mm thick flange unstiffened connection, (b) 25.4 mm thick flange stiffened connection, (c) 19.1 mm thick flange unstiffened connection and (d) 19.1 mm thick flange stiffened connection, with eight 25.4 mm diameter bolts for each connection, were developed. The finite element models were validated by comparing the finite element failure loads, deflections and strains with experimental values. Five test specimens were 25.4 mm thick stiffened flange connections (with different orientations of stiffeners), three test specimens were unstiffened 25.4 mm thick flange connections, and the last two were unstiffened 19.1 mm thick flange connections---all connected by eight 25.4 mm ASTM A325 bolts. The 3-D finite element models predicted the ultimate strength of the flange connections well, matching the experimental values. A design example using T-stub analysis and yield line method is included. Using the yield line theory, the thickness required for stiffened connection is found to be 22% less than that for unstiffened connection. For the same flange thickness, stiffened connections are stronger by 68%. It is suggested that for preliminary design of flange connections, T-stub method can be used. Yield line method can then be applied for an accurate design. If necessary this can be supplemented by finite element analysis.Dept. of Civil and Environmental Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .N34. Source: Masters Abstracts International, Volume: 42-02, page: 0639. Adviser: Murty K. S. Madugula. Thesis (M.A.Sc.)--University of Windsor (Canada), 2003.

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)0.000
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.213
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

Citations0
Published2003
Admission routes1
Has abstractyes

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