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Record W4234254200 · doi:10.1520/stp48796s

Fatigue Behavior of Adhesively Bonded Aluminium Double Strap Joints

2009· book-chapter· en· W4234254200 on OpenAlexaff
A. E. Nolting, P. R. Underhill, D.L. DuQuesnay

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsMaterials scienceAluminiumStructural engineeringComposite materialEngineering

Abstract

fetched live from OpenAlex

The fatigue life and failure mode of double strap joints constructed from bare and clad aluminum alloys were examined. Substrate failures were found to occur at lower stress levels, while the failure mode at higher stresses was debonding of the patches. The stress∕strain state at the edge of the patch was altered by changing the patch thickness, patch modulus, or by tapering the edges of the patch. The specimens were modeled using finite element analysis. The results of the finite element analysis revealed a power law relationship between fatigue life and either the peak principal strain in the adhesive for adhesive failures, or the nominal axial stress in the substrate for substrate failures. The fatigue life and failure mode of a double strap joint specimen can be determined by calculating the failure life for that specimen under adhesive and substrate failure. The failure mode with the shortest life will indicate the failure mode and fatigue life of that specimen.

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), Insufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.263
Teacher spread0.212 · 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 designBench or experimental
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

Citations1
Published2009
Admission routes1
Has abstractyes

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