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Record W7117303353 · doi:10.1061/jpsea2.pseng-1943

Distributed Strain Measurements on Steel Pipes with Simulated Corrosion Pits Subjected to Four-Point Bending

2025· article· en· W7117303353 on OpenAlex
Haitao Lan, Guohao Ma, Neil A. Hoult, IC Moore

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.

Bibliographic record

VenueJournal of Pipeline Systems Engineering and Practice · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsCorrosionPerforationUltimate tensile strengthBendingStrain (injury)PipePipingTensile strain

Abstract

fetched live from OpenAlex

Deterioration due to pitting corrosion is one of the main causes of cast iron and steel pipe failure; however, few studies report on how corrosion pit geometry influences the mechanical response of buried pipelines. In this paper, a series of four-point bending tests were used as proxies for buried pipe tests to investigate the strain distributions around simulated corrosion pits. Three corrosion pit geometries were used to investigate the influence of pit geometry on local strain distributions at the invert of the pipe arising from longitudinal bending: (1) a cylindrical perforation all the way through the pipe wall; (2) a cylindrical pit extending partially through the pipe wall and having a flat bottom; and (3) a spherical pit extending partially through the pipe wall. Distributed fiber-optic strain sensors were used to measure the longitudinal strains along the crown, springlines, and invert of the pipe and circumferential strains around the simulated corrosion pits. Different longitudinal strain distributions were observed across the top of these pits on the exterior surface of the pipe and under the pit on the interior surface. The maximum longitudinal tensile strains measured on the two samples with simulated pits that partially penetrated the pipe wall were about 2.5 times higher than an intact specimen. For the circumferential strains, comparisons were made to strains calculated using the Kirsch solution for a flat plate with a circular hole. Although the calculated values of maximum tensile hoop strain were similar to the experimental measurements obtained from the perforated samples, the distributed strain measurements around the pits were different from the calculated distributions. This is because the traverse strains (the strains 90° from the longitudinal direction at the invert of the pipe) near the pit are more compressive than those assumed when imposing uniaxial stress or uniaxial strain conditions in the Kirsch solution; when biaxial strain fields are imposed in the Kirsch theory, as obtained from three-dimensional numerical analyses, the closed-form solution provides effective estimates of stress and strain around perforations. Finally, comparisons were made to strain measurements from a buried pipe subjected to longitudinal bending, and these indicate that four-point bending tests can capture critical peak tensile strains that would lead to failure, but not the full distributed strain profile.

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)0.002
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 score0.466
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.259
Teacher spread0.237 · 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