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Record W2361080265

Discussion on dynamic instability behavior of serial systemof laminated rubber bearing with column

2005· article· en· W2361080265 on OpenAlexaff
Hui Li

Bibliographic record

VenueShijie dizhen gongcheng · 2005
Typearticle
Languageen
FieldEngineering
TopicElasticity and Material Modeling
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsInstabilityFast Fourier transformHarmonicsHarmonicBearing (navigation)Structural engineeringColumn (typography)Computer scienceNatural rubberStability (learning theory)Superposition principleControl theory (sociology)EngineeringAcousticsMathematicsMechanicsMaterials scienceAlgorithmPhysicsMathematical analysisComposite material
DOInot available

Abstract

fetched live from OpenAlex

In this paper, the dynamic stability of serial system of laminated rubber bearing with column is studied. Firstly, the dynamic response of the serial system under the action of harmonics is analyzed with the theory of dynamic stability, and the principal region of dynamic instability of the serial system can be obtained. Secondly, the random earthquake waves are decomposed into the superposition of simple harmonic waves with different frequencies by using the spectral analysis of Fast Fourier Transform (FFT) algorithm. The changing of dynamic instability region under different static load factors and column cross-section dimensions is discussed. The dynamic stability character of the above mentioned system under a certain earthquake wave is analyzed by the numerical computational example. The analysed result provides theoretic basis for the design and application of the serial system of laminated rubber bearing with column.

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 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 score0.123
Threshold uncertainty score0.692

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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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
Published2005
Admission routes1
Has abstractyes

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