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Record W2080010772 · doi:10.1115/detc2010-29203

A New Life Prediction Model Based on Ductility Exhaustion Theory for High Temperature Low Cycle Fatigue of Turbine Disk Alloys

2010· article· en· W2080010772 on OpenAlexaff
Shun‐Peng Zhu, Rui Sun, Hong‐Zhong Huang, Ming J. Zuo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceSuperalloyDuctility (Earth science)CreepLow-cycle fatigueTurbineStructural engineeringMechanicsConstitutive equationStress (linguistics)MetallurgyThermodynamicsAlloyEngineeringPhysicsFinite element method

Abstract

fetched live from OpenAlex

Based on ductility exhaustion theory and the generalized damage parameter, a new viscosity-based life prediction model is put forward to account for creep and mean strain or stress effects in a low cycle fatigue regime. The mechanisms of loading waveform and cyclic hardening effects are also taken into account within this model. It assumes that damage accrues by means of viscous flow and ductility consumption relates only to plastic strain and creep strain under high temperature low cycle fatigue conditions. The proposed model provides a better prediction on the fatigue behaviors of Superalloy GH4133 than the Goswami’s ductility model and the generalized damage parameter. Compared with the proposed model and the generalized damage parameter, the Goswami’s model cannot properly account for creep and mean stress effects on the low cycle fatigue life. Under non-zero mean strain conditions, the proposed model provides more accurate predictions of GH4133 Superalloy than that with zero mean strains.

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: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.735

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 head0.005
GPT teacher head0.202
Teacher spread0.197 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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