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Development and Application of Nonlinear Dissipative Device in Structural Vibration Control

2018· book· en· W3171573297 on OpenAlexaff
Zheng Lu, T.Y. Yang, Ying Zhou, Angeliki Papalou

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsUniversity of British Columbia
FundersBeijing Advanced Innovation Center for Future Urban DesignPriority Academic Program Development of Jiangsu Higher Education InstitutionsNational Key Research and Development Program of ChinaUniversity of HoustonChina Scholarship CouncilKey Technology Research and Development Program of ShandongBeijing University of Civil Engineering and ArchitectureNational Research Foundation of KoreaNational Outstanding Youth Science Fund Project of National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Research Foundation
KeywordsDissipative systemNonlinear systemVibrationVibration controlControl theory (sociology)Control (management)Computer scienceStructural engineeringPhysicsControl engineeringAcousticsEngineeringArtificial intelligenceThermodynamics

Abstract

fetched live from OpenAlex

has more than 10 years' experience in structural sibration control, earthquake resistance of engineering structures, and particle damping technology. The studies he has carried out focus on developing the particle damping-based new dissipative devices and corresponding fundamental applications.

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: none
Teacher disagreement score0.910
Threshold uncertainty score0.681

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 head0.006
GPT teacher head0.219
Teacher spread0.214 · 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
Published2018
Admission routes1
Has abstractyes

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