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Seismic Response of Asymmetric Rectangular Liquid-Containing Structures

2012· article· en· W2068561359 on OpenAlexafffund
Najib Bouaanani, Damien Goulmot, Benjamin Miquel

Bibliographic record

VenueJournal of Engineering Mechanics · 2012
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAsymmetryDissipationCompressibilityFinite element methodFluid–structure interactionDomain (mathematical analysis)Frequency domainMechanicsComputer scienceStructural engineeringPhysicsMathematicsMathematical analysisEngineeringThermodynamics

Abstract

fetched live from OpenAlex

A new formulation to investigate the seismic response of symmetric and asymmetric rectangular liquid-containing structures is developed and validated in this paper. The proposed method is based on a substructuring approach, where the flexible liquid-containing structure is modeled using finite elements, while the impulsive effects of the fluid domain are modeled analytically through interaction forces at the fluid-structure interfaces. The technique takes account of geometrical or material asymmetry of the liquid-containing structure, fluid compressibility, and energy dissipation through reservoir-bottom absorption. The formulation is presented in such a way that it can be easily coded into a practical and computationally efficient program and is applied to illustrative examples highlighting the effects of geometrical and material asymmetry on the dynamic responses of liquid-containing structures. The obtained frequency- and time-domain results are successfully validated against advanced finite-element analyses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.207
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2012
Admission routes2
Has abstractyes

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