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Record W1549623746 · doi:10.15866/irena.v2i3.4116

Vibration of Cracked Composite Beams: a Dynamic Finite Element

2013· article· en· W1549623746 on OpenAlexaff
Seyed M. Hashemi, Stephen R. Borneman, Hekmat Alighanbari

Bibliographic record

VenueInternational Journal on Numerical and Analytical Methods in Engineering (IRENA) · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Health Monitoring Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFinite element methodBeam (structure)VibrationCantileverStructural engineeringStiffnessVirtual workNatural frequencyBoundary value problemStiffness matrixBending stiffnessMass matrixFlexibility methodConvergence (economics)Materials scienceEngineeringMathematical analysisMathematicsAcousticsPhysics

Abstract

fetched live from OpenAlex

A Dynamic Finite Element (DFE) is developed to analyze the vibration characteristics of cracked composite beams. Stress intensity factors, corrected for geometry and material anisotropy, have been used to develop the local flexibility of a through-thickness cracked uniform laminated unidirectional unbalanced beam. By exploiting the principle of virtual work and the Dynamic Trigonometric Shape Functions (DTSF’s), developed from the exact solutions to the equations governing uncoupled flexural and torsional vibrations of the system, the element Dynamic Stiffness Matrix (DSM) is developed. By implementing the local flexibility of crack, the element matrices exhibiting both mass and stiffness properties are then assembled and the boundary conditions are applied to form the eigenproblem of the overall system. The natural frequencies and modes are then extracted using the well-known Wittrick–William (W-W) root counting algorithm. Numerical tests are conducted for a flat, solid rectangular cross-section, uniform, cantilever, laminated composite beam.  Both intact and damaged scenarios (for cracks located at 20% and 50% of beam length), with various crack ratios, , and ply angles, , are investigated. Numerical results on natural frequencies and convergence tests demonstrate the higher accuracy and faster convergence of the proposed DFE and its superiority over the classical Finite Element Methods (FEM).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score0.624

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 head0.016
GPT teacher head0.352
Teacher spread0.336 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations2
Published2013
Admission routes1
Has abstractyes

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