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Record W4400234969 · doi:10.11159/iccste24.163

Finite Element Modelling of Tire Pavement Interaction on Micromechanical Pavement Surface

2024· article· en· W4400234969 on OpenAlexvenueno aff
Yasmeen Abdelkarim, Tae‐Yeon Kim, Athanasios Skarpas

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsFinite element methodAsphalt pavementRoad surfaceSurface (topology)Materials scienceStructural engineeringEngineeringCivil engineeringComposite materialAsphaltMathematicsGeometry

Abstract

fetched live from OpenAlex

This study presents finite element (FE) modelling of tire pavement interaction based on a micromechanical pavement surface.The FE model of the pavement surface is created using CT scan images of an actual pavement specimen to accurately represent the micromechanical surface morphology of the pavement.The micromechanical FE model of the pavement consists of aggregate, binder, and air voids.Using the micromechanical pavement model, tire pavement interaction simulations are performed using ABAQUS by setting binder and rubber as viscoelastic materials and aggregate as an elastic material.Moreover, the FE model includes layers of asphalt, base course, and subgrade to mimic a real pavement.The interaction between tire and the pavement surface is modelled via the surfaceto-surface contact.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.532

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 head0.030
GPT teacher head0.247
Teacher spread0.217 · 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
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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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