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Record W7132891205

Investigation of crack initiation under pure compression fatigue load

2008· dissertation· W7132891205 on OpenAlexfundno aff
Tzu-Yin Jean Hsu

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldEngineering
TopicMechanical Failure Analysis and Simulation
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsCompression (physics)Fatigue testingUltimate tensile strengthStress (linguistics)Goodman relationCrack closureCompressive strengthFinite element method
DOInot available

Abstract

fetched live from OpenAlex

Fatigue is an exhaustion process of material's life through repeated stresses or strains. Various investigations have shown that more than 90% of all practical failures of load-bearing components are fatigue related. Furthermore, it is commonly accepted that fatigue crack initiates under tensile fatigue stress. However, practical examples such as the failures in landing gears, demonstrate that cracks may also initiate under pure compressive fluctuating loads. Knowledge of compressive fatigue is very limited. In this study, compression fatigue tests were carried out on multiple notched samples that have different stress concentrations. Results showed that cracks initiated under pure compressive fatigue load when a critical stress concentration was reached. In addition, this crack initiation process was associated with plastic deformation. The analyzed was the mechanism of plastic deformation and the crack directionality. FEA simulation was also conducted to verify the design of stress concentration factors and to analyze the experimental results.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.059
GPT teacher head0.322
Teacher spread0.263 · 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 designBench or experimental
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
Published2008
Admission routes1
Has abstractyes

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