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Resposta de sistemas dinamicos e rotores interagindo com o solo

2007· dissertation· pt· W4205417622 on OpenAlexaboutno aff
Amilcar Daniel Ogaz de Ogaz

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)Rotor (electric)InertiaViscoelasticityEngineeringHomogeneousGeotechnical engineeringStructural engineeringMechanicsMechanical engineeringPhysicsClassical mechanicsGeography

Abstract

fetched live from OpenAlex

The present work describes the dynamic response of a system consisting of a rotor, a rigid foundation and a homogeneous soil profile. The rotor is considered a Jeffcott (Laval) model with external damping which is attached to a rigid foundation. The foundation is supported by a viscoelastic half-space. The analysis is conducted in the plane of the rotor. A detailed deduction of the system's equation of motion is presented. The soil response is synthesized by the Boundary Element Method. The analysis is conducted in the frequency domain, leading thus to the stationary response of rotor and foundation. The influence of distinct system parameters of the dynamic response of rotor and foundation is addressed. The geometric parameters include the distance of the foundation mass center to the soil-foundation interface and the height of the rotor with respect to the foundation. The effect of rotor to foundation inertia ratio is investigated. The role of soil internal and geometric damping on the system response is also addressed. The influence of the contact type at the soil foundation interface, bonded or smooth, is also considered.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.277
Teacher spread0.267 · 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 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
Published2007
Admission routes1
Has abstractyes

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