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Record W2299818464

Finite Element Modeling of Spot Welds for Vibration Analysis

2010· article· en· W2299818464 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

VenueInstitutional Repositories DataBase (IRDB) · 2010
Typearticle
Languageen
FieldEngineering
TopicBladed Disk Vibration Dynamics
Canadian institutionsCybernet Systems Corporation (Canada)
Fundersnot available
KeywordsSpot weldingFinite element methodWeldingStructural engineeringShell (structure)VibrationSheet metalModal analysisPolygon meshEngineeringMaterials scienceMechanical engineeringAcousticsGeometryPhysicsMathematics
DOInot available

Abstract

fetched live from OpenAlex

In this paper, we deal with finite element modeling techniques for the dynamic behavior of sheet metal structures jointed by spot welds.A major requirement of spot weld finite element models is to accurately predict the dynamic characteristics of welded structures with a small number of degrees of freedom.In addition, spot weld models are easy to generate for non-congruent meshes of the jointed metal sheets.For this purpose, a model using multi-point constraint (MPC) is widely used in the automotive industry.For the model using MPC, we investigate the effect of mesh size in the area of the spot weld (patch area) on the modal properties such as natural frequency and mode shape.As an example structure, the structure that consists of two steel plates jointed by three spot welds is used.The results indicate that the proper shell element size in the patch area is dependent on the solid element size determined from the diameter of a weld nugget.The recommended range of the ratio of sizes of the shell to the solid elements is between 1.0 and 1.5.

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: none
Teacher disagreement score0.827
Threshold uncertainty score0.735

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 communication0.0000.001
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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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