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Record W7015348166

Steel shear tab connections subjected to combined shear and axial forces

2015· dissertation· en· W7015348166 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsShear (geology)Finite element methodShear forceShear and moment diagramSimple shearShear stress
DOInot available

Abstract

fetched live from OpenAlex

A common approach to connect steel beams to columns is to use single plate shear tabs. Numerous laboratory test programs of these connections subjected to vertical loading alone have been completed over the past 30 years. However, the effect of axial forces on the shear tab's performance has only recently been the subject of study. The presence of an axial force in the shear tab connection will typically result in the need for multiple vertical rows of bolts, which is not addressed in any Canadian design guide. The main objective of the research program described herein was to develop a design approach that could be used by the engineering community to address the effect of combined axial and shear force on a shear tab connection.A series of four full-scale tests were performed on shear tab connections between a W610x140 beam and a W360 x 196 column, as well as a W310 x 60 beam and a W360 x 196 column. The shear tab, which was configured as a double bolt row connection, was subjected to a combined vertical (shear) force and axial tension along with the anticipated rotation of a typical beam-to-column joint. A matching specimen was then tested under shear and axial compression. The results from these tests and previous shear tabs tested under gravity load alone were used in the development of a finite element model that is capable of simulating the response of the connection under shear load; predict the ultimate resistance and the progression of failure. Previous finite element modelling of shear tabs lacked damage simulation capability, did not include the effect of weld tearing, and as such often overestimated the connection resistance. The models presented in this thesis featured special modelling techniques and were able to predict all types of failure modes such as bearing, net area fracture, shear yielding, flexural yielding, and weld tearing of the connections.The FE models were then used to investigate the performance of shear tabs subjected to combined shear and axial force. Shear force–axial force interaction curves were generated for various levels of axial tension and compression force for twelve connections. A design approach was proposed which allows practicing engineers to include the effect of any axial force level in the design of a shear tab connection.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.097
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.232
Teacher spread0.220 · 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 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
Published2015
Admission routes1
Has abstractyes

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