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Record W1581262194 · doi:10.4271/2009-01-2127

Design of Shape for Visco-Elastic Vibration Isolation Element by Topological and Shape Optimization Methods

2009· article· en· W1581262194 on OpenAlex
Hwan-Youp Oh, Kwang-Joon Kim

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

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2009
Typearticle
Languageen
FieldEngineering
TopicTopology Optimization in Engineering
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsVibration isolationShape optimizationVibrationTopology (electrical circuits)Topology optimizationViscoelasticityComputer scienceElement (criminal law)Finite element methodMaterials scienceStructural engineeringAcousticsPhysicsEngineeringComposite materialElectrical engineering

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">Design of geometric shape for visco-elastic vibration isolation elements is frequently based on experiences, intuitions, or trial and errors. Such practices make it often difficult for drastically different or new concepts to come out. In this paper, both a topological method and a shape optimization method are combined together to find out a most desirable isolator shape efficiently by using two commercial engineering programs, ABAQUS and MATLAB. The procedure is divided into two steps. At first, the topology optimization method is employed to find an initial shape, where material density of each finite element is chosen as either 0 or 1 for physical realization. Based on the initial shape, then, finer tuning is done by the boundary movement method. An illustration of the procedure is presented for a vehicle engine mount and the effectiveness will be discussed.</div>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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