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Record W2604164654 · doi:10.1061/9780784480397.013

Modeling and Testing of Shear Connections with Beams under Tension Membrane Loading

2017· article· en· W2604164654 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStructures Congress 2017 · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStructural engineeringStiffnessDeflection (physics)Ultimate tensile strengthMaterials scienceShear (geology)Framing (construction)EngineeringComposite materialPhysics

Abstract

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Structural steel framing members subjected to blast loading respond initially in flexure followed by tension membrane as deflection increases. If member connections have been adequately designed and detailed, those members can achieve large deformations and achieve significantly greater load capacity in tension membrane than can be developed in flexure only. The applied load and large deformation of the member produce a tensile axial force that must be resisted by both the member and corresponding connections. With rigid connections, the normal-to-plane deformations cause elongation of the member. Even a small axial elongation along the component axis can produce significant tensile forces. If a portion of the axial deformation could be relieved by incorporating flexibility of the connections, the resulting axial force in the member and the force demand on the connections can be reduced. Moreover, similar concepts used while designing the component are required for the connection design such as: strength, stiffness, ductility, especially if a ductile failure mode in the component is expected. Ample research has been done to study semi-rigid connection behavior during conventional loading. However, there is limited research of connections for members subjected to blast and impact loading. Recently, the University of Alberta has performed research on the behavior of shear connections (SC) of structures subjected to progressive collapse loading. Although this research evaluated response with a lower strain rate effect than typically occurs with blast loading, the connection test data is valuable for model development. Currently, there is no comprehensive blast standard or guideline for design of connections in components subjected to blast load. This paper presents a multi-degree of freedom (MDOF) approach to compute the overall response of a steel member subjected to blast loading, including the component (with large deformation) and connections. Connection models proposed by the University of Alberta are incorporated in the MDOF tool. This MDOF approach can predict a more realistic response of the system subjected to blast loading than provided by typical single-degree-of-freedom (SDOF) approaches, which ignore connection flexibility.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.425

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 head0.025
GPT teacher head0.242
Teacher spread0.217 · 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