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Record W2605955780 · doi:10.2514/6.2005-2024

Studies of Residual Stress in Single-Row Countersunk Riveted Lap Joints

2005· article· en· W2605955780 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.

Bibliographic record

Venue46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference · 2005
Typearticle
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsResidual stressStructural engineeringStress (linguistics)Materials scienceRivetComposite materialResidualComputer scienceEngineeringAlgorithm

Abstract

fetched live from OpenAlex

Variations of stress and strain from the riveting process through the tensile loading stage in lap joints with a single countersunk rivet were studied experimentally and numerically. The joint specimen consisted of two 2.03 mm thick 2024-T3 Al alloy bare sheets and one 2117-T4 Al alloy countersunk MS20426AD8-9 rivet. A force-controlled riveting method was employed to install the rivets in the joints using three different rivet squeeze forces, 35.59 kN, 44.48 kN, and 53.38 kN. After releasing the squeeze forces, the lap joints were then loaded in tension to a maximum stress of 98.5 MPa. In-situ micro-strain gauges were used to measure the strain variations during the entire loading sequence. Three-dimensional (3D) finite element (FE) models were generated to simulate the experimental set up. The material elasto-plastic constitutive relationship and geometric non-linear properties as well as nonlinear contact boundary conditions were included in the numerical simulations. The numerical modeling techniques were validated using the experimental data. The residual minimum principal stress resulting from the riveting process and maximum principal stress when the joints were in tension determined from the FE analyses are present. The stress variations along a prescribed path are also presented. The aim of the research is to develop an accurate 3D numerical technique to study the residual stress and strain as well as the stress and strain variations that occur during the entire loading history.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.272
Teacher spread0.246 · 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