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Record W1989486494 · doi:10.1115/imece2012-86372

Stress Singularity Analysis of a Viscoelastic/Viscoelastic Bonded Joint

2012· article· en· W1989486494 on OpenAlexaff
M. A. K. Chowdhuri, Zhenhai Xia

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsViscoelasticityMaterials scienceJoint (building)Stress (linguistics)SingularityComposite materialStandard linear solid modelStructural engineeringMechanicsMathematicsMathematical analysisPhysicsEngineering

Abstract

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Measurement of bi-material interface bonding strengths has drawn considerable attentions because damages or failures are most likely to occur at the interfaces in many advanced materials and structures. However, the measurement of the interface bonding strength is hindered by the presence of the stress singularity at the interface corner. In order to determine the actual bonding strength of bi-material interface, the determination/elimination of the stress singularity is thus very crucial. This paper presents an analytical model for the determination of the stress singularity and its elimination for a viscoelastic/viscoelastic bonded joint. Two viscoelastic materials with different material properties are considered for this study. Each material is modelled as a standard linear solid and the properties of both materials are considered as time-dependent. The elastic-viscoelastic corresponding principle is used to find the analytical solution for the subjected viscoelastic/viscoelastic bonded joint from the available analytical solution for an elastic/elastic bonded joint. The developed solution is applied for a bonded joint between Polyvinyl-chloride (PVC) and Epoxy materials. It is found that the stress singularity at the interface corner may increase with time due to the viscoelasticity of the materials. Finite element analyses have also been carried out to verify the results obtained from the analytical solution and the two results are in good agreement.

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 categoriesInsufficient 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.243
Teacher spread0.222 · 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
GenreEmpirical

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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