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Record W4242697681 · doi:10.22215/etd/2017-12167

Simulations of Ductile Fracture in Pipeline Steels Under Quasi-Static and Dynamic Loading Conditions

2017· dissertation· en· W4242697681 on OpenAlexafffund
Christopher Bassindale

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsCarleton University
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsCohesive zone modelMaterials scienceInertiaStructural engineeringFracture (geology)Finite element methodDynamic loadingViscoplasticityMode (computer interface)Pipeline (software)Composite materialEngineeringConstitutive equationComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

To circumvent numerous costly experimental investigations of full scale pipeline burst tests, fracture resistance parameters are determined from small scale lab tests for a given material. Developed over the past several decades, fracture parameters such as the Charpy V-notch energy, drop weight tear test (DWTT) absorbed energy, and most recently the crack tip opening angle (CTOA) have proven to be useful design tools for the pipeline industry. The CTOA is becoming a rival measure of ductile fracture propagation; however, there are several aspects such as the effect of loading mode and loading rate, which are still under investigation.

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 score0.039
Threshold uncertainty score0.968

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 head0.012
GPT teacher head0.315
Teacher spread0.303 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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