MétaCan
Menu
Back to cohort
Record W1996613684 · doi:10.1115/1.1357161

Robust Estimation of Inelastic Fracture Energy Release Rate (J ): A Design Approach

2000· article· en· W1996613684 on OpenAlexaff
R. Seshadri, Shuang Wu

Bibliographic record

VenueJournal of Pressure Vessel Technology · 2000
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsStructural engineeringFracture (geology)Stress (linguistics)Upper and lower boundsLinear elasticityEnergy (signal processing)Component (thermodynamics)WarrantMechanicsMaterials scienceFinite element methodEngineeringMathematicsComposite materialPhysicsThermodynamicsMathematical analysisStatistics

Abstract

fetched live from OpenAlex

There are insufficient details during preliminary stages of a pressure component design to warrant a comprehensive inelastic determination of the fracture energy release rate, J. A simplified formulation for estimating J, described in this paper, relies on a knowledge of the linear elastic stress-intensity parameter and the plastic collapse load. Subsequently, an expression for J is provided in terms of the r-node strain, which serves as an upper bound in the elastic-plastic regions for components subjected to mechanical loads. Estimates of J for several standard configurations have been obtained by inelastic FEA, and the comparisons with the corresponding robust estimates are reasonable.

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: Methods · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.590

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 integrity0.0000.001
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 head0.011
GPT teacher head0.192
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

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
GenreMethods

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

Citations2
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pressure Vessel TechnologySame topicFatigue and fracture mechanicsFrench-language works237,207