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Record W16129993

FEM calculation of frequencies variation caused by residual stress distribution in welded structures

2007· article· en· W16129993 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

Venueinternational conference on Modelling and simulation · 2007
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsResidual stressWeldingFinite element methodStress (linguistics)Structural engineeringResidualMaterials scienceComputer scienceEngineeringComposite materialAlgorithm
DOInot available

Abstract

fetched live from OpenAlex

All manufacturing and forming processes induce residual stress in mechanical parts and experiments have shown that residual stress distribution affects the natural frequencies in structures. In practice, measuring residual stress is still difficult, and cannot always be done without destroying the part. Even if some non-destructive methods exist for measuring the residual stress, they cannot be applicable on all parts and results are sometimes more qualitative than quantitative. Numerical methods such as the finite element method (FEM) provide tools for predicting the state of stress resulting from welding, and using modal analysis has appeared as an interesting alternative for measuring and predicting the residual stress. Simulations of welding on a plate have been done using the commercial software ANSYS. Results show that after the welding simulation, the natural frequencies have risen by about 5 to 7 percent in comparison with a free of stress plate.

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 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 score0.392
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.035
GPT teacher head0.287
Teacher spread0.252 · 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