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Record W2379761015

Optimal design for partial constrained layer damping

2011· article· en· W2379761015 on OpenAlex
Lu Qiuhai

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

VenueJournal of Tsinghua University(Science and Technology) · 2011
Typearticle
Languageen
FieldEngineering
TopicTopology Optimization in Engineering
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsTopology optimizationModalFinite element methodConstrained-layer dampingVibrationOptimal designLayer (electronics)Topology (electrical circuits)Structural engineeringEngineeringControl theory (sociology)Computer scienceVibration controlMaterials scienceAcousticsPhysicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

Constrained layer damping is widely used in vibration suppression for plate like structures,especially the partial constrained layer damping(PCLD).Optimal design for PCLD has been studied in this paper by using Ansys.The finite element model of PCLD is established in Ansys firstly,then,in order to improve the designated modal damping ratios of a plate,topology optimization design is carried out based on the FE model with Cellular Automata(CA) algorithm and the modified version(CAM) by the author.Finally,integrated optimization method of multiparameter design and topology shape design of the PCLD is presented in this paper.Numerical simulations show that the method presented in this paper gains higher damping effectiveness.It can provide a simple design guideline for PLCD optimization in engineering applications with plates and shells.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.022
GPT teacher head0.202
Teacher spread0.181 · 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