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Record W2933866468 · doi:10.18280/mmep.060115

Research on the first passage of double-layer micro-plate in the piezoelectric model

2019· article· en· W2933866468 on OpenAlexvenueno aff
Zhenzi Zhang, Ping Wang

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPiezoelectricityLayer (electronics)Double layer (biology)Materials scienceAcousticsComposite materialPhysics

Abstract

fetched live from OpenAlex

Considering the macroscopic kinetic analysis model is not applicable to the MEMS field, this paper establishes an effective method for analyzing the stochastic stability of microcomponents. Firstly, it establishes a dynamic governing equation for the double-layer microplate simply supported on four sides based on the strain gradient theory and Hamilton's variational principle; then, it analyzes the first passage failure of the double-layer microplate in the piezoelectric model by using the stochastic average theory, and obtains the characteristic quantity of the first passage; finally, it compares the impacts of electrostatic excitation intensity on the first passage failure through numerical simulation. According to the results of the example analysis, even an excitation change that has a minimal impact on the overall failure process will significantly increase the probability of first passage failure in the rapid reliability degradation stage. The results obtained in this research can be used to extend the useful life of MEMS.

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)0.001
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 score0.224
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.066
GPT teacher head0.263
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2019
Admission routes1
Has abstractyes

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