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Record W1986299964 · doi:10.1243/14644193jmbd20

Response of fluid-saturated elastic porous media to excitations of multiple energy sources

2007· article· en· W1986299964 on OpenAlexafffund
G Wang, Liming Dai, Mingzhe Dong

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaPetroleum Technology Research Centre
KeywordsPorous mediumIsotropyMechanicsWave propagationPhysicsPoromechanicsIsotropic solidPorosityLongitudinal waveClassical mechanicsMaterials scienceOpticsComposite material

Abstract

fetched live from OpenAlex

This paper studied the behaviour of elastic waves in porous media consisting of fluid and solid. For analytically quantifying the wave motions of a fluid-saturated porous medium subjected to the excitations of multiple energy sources, a new methodology is developed with the establishment of an analytical wave model. Displacements of both the fluid and solid are considered in the development of the wave model such that the elastic waves propagating in the isotropic and homogeneous porous media can be quantitatively analysed. Solutions of the governing wave equations are developed on the basis of the moving-coordinate method with utilization of Hankel function. Employing the model established, relative displacements between the fluid and solid of a porous medium can be quantified. The wave field in the medium can thus be quantitatively determined for the wave propagation under given multiple energy sources. For demonstrating the application of the theoretical wave model developed, numerical simulations of the elastic waves propagating in a porous medium under multiple energy sources are performed.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.274
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 science0.0010.000
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 head0.219
Teacher spread0.207 · 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 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".

Quick stats

Citations5
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body DynamicsSame topicSeismic Imaging and Inversion TechniquesFrench-language works237,207