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Record W4389540754 · doi:10.17118/11143/21148

Analysis of imperfectly bonded thin-sheet actuators with largedeflection

2023· article· en· W4389540754 on OpenAlex
Mostafa Alizadeh, Xiaodong Wang

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

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsActuatorDeflection (physics)Materials scienceStructural engineeringComputer sciencePhysicsEngineeringOpticsArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract: A thin-sheet piezoelectric actuator surface-bonded to a structure can be modelled as a thin layer bonded to an elastic half-space when the thickness of the structure is significantly larger than that of the actuator. The performance of the actuator is greatly affected by the interface conditions between the actuator and the host. The general behaviour of this type of structure under small deformation has been extensively studied analytically and numerically. Studies on delaminated thin films also gave great insights into the general mechanism of debonding in this type of structure. When loaded imperfectly mounted actuators are more susceptible to large deflection than perfectly bonded actuators. Previously existing studies presenting analyses of partially mounted actuators are mainly based on small deformations.

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 categoriesInsufficient 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 score0.023
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.258
Teacher spread0.241 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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