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Record W2137726208 · doi:10.1088/0964-1726/14/5/035

A novel smart adhesively bonded joint system

2005· article· en· W2137726208 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

VenueSmart Materials and Structures · 2005
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsDalhousie University
Fundersnot available
KeywordsJoint (building)Structural engineeringMaterials scienceComposite materialSmart materialEngineeringComputer scienceForensic engineering

Abstract

fetched live from OpenAlex

A new smart adhesive joint system was developed by integrating (surface bonding) electromechanical piezoelectric patches. The bending moments in this joint system could be adaptively controlled by adjusting the electric field applied to the surface bonded piezoelectric patches. As a result, the stress distribution in the adhesive layer is more uniformly redistributed, thus reducing the stress concentration in the ends of the interface bond line. A detailed theoretical model was developed for the analysis of a single-strap adhesive joint system to study the influence of the surface bonding of piezoelectric patches and the distribution of the stress in the adhesive layer. The integrity of the proposed solution was verified by analyzing the joint with a finite element method. The comparison of the results demonstrated the viability of the proposed smart joint system, as well as validating the accuracy of our proposed solution.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.551

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 head0.011
GPT teacher head0.191
Teacher spread0.180 · 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