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Record W1136384404 · doi:10.1520/stp14517s

New Experiments Suggest that All Shear and Some Tensile Failure Processes are Inappropriate Subjects for ASTM Standards

2001· book-chapter· en· W1136384404 on OpenAlexaff
MR Piggott, Kopin Liu, J Wang

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
Fundersnot available
KeywordsUltimate tensile strengthShear (geology)Forensic engineeringMaterials scienceComposite materialEngineering

Abstract

fetched live from OpenAlex

There are four ASTM standards which involve apparent shear failure of composites. These include the Iosipescu (D 5379), tube torsion (D 5448), the short beam test (D 2344), and two-rail and three-rail shear (D 4255). However, careful experiments in which polymers have been sheared show that failure is normally restricted to tensile failure with breaking of polymer chains and cross links. Moreover, it is already known that shear hackle is produced by a tensile process. In view of this, these standards should be reexamined to determine whether strengths should be reported at all. The same argument applies to the new standard being developed for mixed Mode I-Mode II interlaminar fracture toughness. Mode I is the only failure mode which is consistent with experimental observations. In addition, the D 3039 standard for tensile strength has been revised to include balanced and symmetric laminates. Experiments have shown that, with angle ply laminates, much greater strengths can be obtained just by making the specimen wider and shorter. These latter tests agree very well with tests on pressurized filament wound tubes, with structures equivalent to the angle ply structures. This strongly indicates that the ASTM test can severely underestimate the strength. The ASTM standard also seriously underestimates the stiffness. There appears to be an “edge softening” effect, so that apparent properties are very dependent on the aspect ratio of the test sample. Thus, true material properties are not measured. It is proposed that all ASTM D 30 mechanical tests be reexamined to determine (a) what purpose is served by having the test at all, and (b) whether it is measuring a true materials property.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.025
GPT teacher head0.239
Teacher spread0.214 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations12
Published2001
Admission routes1
Has abstractyes

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