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Seismic wave propagation in inhomogeneous and anisotropic porous media

2001· article· en· W2114526859 on OpenAlexaff
Pratap N. Sahay, T. J. T. Spanos, Vicente de la Cruz

Bibliographic record

VenueGeophysical Journal International · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiot numberPoromechanicsPorosityPorous mediumAnisotropyMechanicsDisplacement fieldClassical mechanicsViscous liquidConstitutive equationMacroscopic scalePhysicsMaterials scienceGeologyGeotechnical engineeringThermodynamicsOpticsFinite element method

Abstract

fetched live from OpenAlex

A set of macroscopic equations of motion for inhomogeneous and anisotropic porous media is constructed. The porous medium considered consists of an elastic solid with interconnected void spaces filled with a chemically inert viscous fluid. The constituents are assumed homogeneous in their material properties, but the unperturbed porosity is spatially varying and the distributions of pores and interfaces are uneven. The physics at the pore scale, which underpins the approach, is never lost sight of. Although very different in approach from that taken by Biot, a close correspondence to the Biot (1962) theory is established in this paper. The dynamic perturbation in porosity accompanying deformation is treated as kinematically independent of the macroscopic solid displacement field and the macroscopic fluid velocity field. The viscous loss within the pore fluid, which is absent in the Biot approach, is not excluded here. For the most general case, 27 independent macroscopic parameters enter into the macroscopic constitutive equations, not counting the spatial gradient of unperturbed porosity itself, which appears explicitly at various places. Whereas the elastic constants of the constituents are contained within Biot's parameters, here they are factored out. Thus, the parameters are directly linked to the manner in which distributed pores and interfaces control the deformation.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.487

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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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 designObservational
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

Citations72
Published2001
Admission routes1
Has abstractyes

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