MétaCan
Menu
Back to cohort
Record W7115060856 · doi:10.23977/jeeem.2025.080120

Bidirectional Fluid-Structure Coupling Simulation Analysis of the Tank Body of A Liquid Tanker under Emergency Braking and Sharp Turning Conditions

2025· article· W7115060856 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Electrotechnology Electrical Engineering and Management · 2025
Typearticle
Language
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsStress (linguistics)Finite element methodCoupling (piping)Computer simulationLimit (mathematics)Storage tank

Abstract

fetched live from OpenAlex

Based on the specific structural dimensions of a liquid tanker's tank body, a simplified 3D model of the tank body is constructed. Utilizing the Ansys simulation platform, a bidirectional fluid-structure coupling simulation environment is established. The working condition loads under sudden braking and sharp turns of the liquid tanker are designed, and finite element simulation analysis models under different filling ratios are constructed. By comparing the simulation results, the impact of the liquid inside the tank on the tank body and its patterns under different filling ratios are obtained. The simulation analysis results indicate that the greater the filling ratio of the tank body, the greater the impact stress on the tank body and the wave-proof plate, and the stress is proportional to the filling ratio. Both the stress of the tank body and the wave-proof plate are less than the allowable limit stress of 303 MPa, and both the tank body and the wave-proof plate meet the strength requirements.

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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.003
GPT teacher head0.236
Teacher spread0.233 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Electrotechnology Electrical Engineering and ManagementSame topicFluid Dynamics Simulations and InteractionsFrench-language works237,207