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Record W2144401880 · doi:10.1115/1.4007051

The Sensitivity of Overall Collapse of Damaged Submarine Pressure Hulls to Material Strength

2013· article· en· W2144401880 on OpenAlexaff
John R. MacKay

Bibliographic record

VenueJournal of Offshore Mechanics and Arctic Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsDefence Research and Development Canada
FundersMinisterie van Defensie
KeywordsPipingCorrosionHydrostatic pressureMaterials scienceStructural engineeringHullComposite materialCylinderStrain hardening exponentEngineeringMechanics

Abstract

fetched live from OpenAlex

Budget and schedule restrictions sometimes require naval submarines to be operated with unrepaired corrosion damage to the pressure hull. It is important to understand the effects of corrosion wastage on the structural capacity of the hull, so that appropriate diving depth restrictions can be imposed if necessary. The current paper presents an experimental study of the interaction of material behavior with corrosion defects, especially with respect to their effect on overall elasto-plastic collapse of pressure hulls. Twenty ring-stiffened cylinders, representative of submarine pressure hulls failing by overall collapse, were machined from high- and low-grade aluminum alloy tubes. Artificial general corrosion damage was introduced in selected specimens by machining away material from the outside of the cylinder shell in rectangular patches of uniform depth. The cylinders were monotonically loaded to collapse under external hydrostatic pressure. One corroded cylinder was repeatedly loaded past the yield limit before the collapse test in order to study the effect of cyclic plastic loading on its ultimate collapse strength. Overall collapse pressures for corroded cylinders with a variety of patch sizes and depths and material strengths were reduced by, on average, 0.85 times the depth of thinning divided by the original shell thickness. The collapse strength of corroded cylinders was found to be more sensitive to the shape of the stress-strain curve than for intact specimens. Higher levels of strain hardening and ductility were found to improve the performance of damaged cylinders. Permanent deformations in the cyclically loaded cylinder, as measured with strain gauges, grew with each constant-amplitude load cycle; however, the additional deformations tended towards zero with increasing number of cycles, and a subsequent collapse test indicated that the cyclic loading did not affect the collapse pressure. The sensitivity of overall collapse to material strength is related to not only the yield stress, but also the plastic reserve of the material; higher levels of strain hardening and ductility increase overall collapse strength of hulls, especially those with general corrosion damage. The effect of a given level of corrosion thinning is less severe for cylinders with relatively greater levels of strain hardening. It is unlikely that cyclic plastic loading of corroded hulls will lead to premature collapse at a load level below the monotonic collapse pressure.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.188
Teacher spread0.183 · 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 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

Citations9
Published2013
Admission routes1
Has abstractyes

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