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Record W2021589553 · doi:10.1093/qjmam/hbr021

Combining Ray-Tracing Techniques and Finite-Element Modelling in Deformable Media

2012· article· en· W2021589553 on OpenAlexafffund
Marcelo Epstein, Daniel Peter, Michael A. Slawiński

Bibliographic record

VenueThe Quarterly Journal of Mechanics and Applied Mathematics · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsMemorial University of NewfoundlandUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFinite element methodClassification of discontinuitiesIsotropyDiscretizationRay tracing (physics)ComputationMathematical analysisNode (physics)GeometryPhysicsAlgorithmComputer scienceMathematicsOpticsAcoustics

Abstract

fetched live from OpenAlex

We propose a numerical ray-tracing algorithm for isotropic media discretized by finite elements. This algorithm, which is based on tetrahedral elements, combines the flexibility of finite-element modelling with the calculation of rays through a three-dimensional (3D) speed field, given a direction of a ray at its initial point. We implement this algorithm and investigate the sensitivity of rays (namely, their shape and the signal travel time along them) to (i) deformations of the medium and subsequent changes of its speed field and (ii) perturbations of initial direction in the presence of first- and second-order discontinuities. We consider several scenarios analytically, and use them to verify the finite-element scheme. The ray-tracing scheme accounts for Snell’s law at interfaces of velocity discontinuities and intrinsically handles discontinuous velocity gradients. It accommodates objects of arbitrary 3D shape and arbitrary speed fields. Furthermore, this finite-element technique accounts for deformations of a discretized medium on the level of each node by moving the node location and associated value of velocity. For several numerical experiments, we deform different models to observe deviations of rays from their initial shape. This study shows how the computation of rays can be combined with finite-element calculations of static elastic deformations, with implications to seismic and optical studies.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.020
GPT teacher head0.214
Teacher spread0.194 · 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

Citations6
Published2012
Admission routes2
Has abstractyes

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