MétaCan
Menu
Back to cohort
Record W4396529346 · doi:10.22215/etd/2023-15962

Development of a Material Selection Procedure for Natural Gas Pipelines based on the Crack Tip Opening Angle

2023· dissertation· en· W4396529346 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMaterials Science
TopicMaterial Properties and Failure Mechanisms
Canadian institutionsCarleton University
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsSelection (genetic algorithm)Natural gasPipeline transportPetroleum engineeringEngineeringMaterials scienceForensic engineeringMechanical engineeringComputer scienceArtificial intelligenceWaste management

Abstract

fetched live from OpenAlex

In this thesis, extensive finite element simulations of ductile fracture propagation were analyzed using the cohesive zone model (CZM) and the constant CTOA model. The CZM was used to examine the effect of loading mode on the CTOA through comparing the results of a DWTT model to that of a pipe model. A novel constant CTOA model was proposed in which it was integrated into the explicit time integration solver for dynamic simulations. The proposed model was compared with previous published numerical data to serve as verification and then compared to recent experimental data for validation. The proposed model reduced the runtime from previous implementations by 94% while maintaining less than 2% difference. The analysis of the experimental data was the first use of the constant CTOA model to reproduce experimental fracture velocity data. Smoothed particle hydrodynamics was implemented to simulate the effect of backfill during fracture propagation simulations. Several aspects of the modelling techniques were investigated such as the effect of the backfill model size and particle size, as well as various backfill material properties. The effect of each of these parameters was quantified through the effect on the steady state fracture velocity of the model, and effect on the shape of the fracture resistance curve. The constant CTOA model was combined with the SPH model to calculate steady-state fracture velocities for an API X80 and X100 steel with various geometries. This was done to generate a database of fracture resistance data. The fracture resistance data was used to determine the arrest CTOA for various materials and geometries. Using the fracture resistance data, an equation was determined to calculate the arrest CTOA required for a given material, geometry, and operating pressure and backfill. This equation was compared with two other previous arrest CTOA models. The predictions were shown to agree well with X100 experimental data. The arrest methodology was further validated through examining a recent full scale burst test performed on a grade 550 pipe. The CTOA derived fracture resistance curves were shown to estimate the fracture velocity of each of the pipe sections better than the original TCM.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.040
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.024
GPT teacher head0.259
Teacher spread0.235 · 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