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Record W2995533089 · doi:10.1088/1361-665x/ab62df

Monolithic SMA-reinforced double slotted beam-column connection

2019· article· en· W2995533089 on OpenAlexaff
Fadi Oudah, Raafat El‐Hacha

Bibliographic record

VenueSmart Materials and Structures · 2019
Typearticle
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsUniversity of CalgaryDalhousie University
Fundersnot available
KeywordsSMA*Connection (principal bundle)Structural engineeringColumn (typography)Beam (structure)Materials scienceComposite materialEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract Reinforcing concrete connections using superelastic shape memory alloy (SMA) facilitates developing monolithic self-centering earthquake-resistant concrete frames designed to dissipate energy through a flag-shaped hysteretic response. In this research, a new monolithic self-centering concrete beam-column connection was proposed and experimentally validated by testing a large-scale connection under cyclic loading. The connection was detailed to precisely control the center of rotation in the beam member and mitigate damage to slabs attached to the concrete beam. The connection was designed to relocate the center of rotation away from the face of the column based on the newly developed double slotted beam (DSB) technology. The test results were compared with experimental tests of SMA-reinforced single slotted beam-column connection found elsewhere in literature and a control conventional reinforced concrete connection. Test results indicated the ability of the connection to self-center while experiencing a flag-shaped hysteretic response.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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