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Record W2895324227 · doi:10.1121/2.0000857

Nonlinear interactions of P and S waves under uniaxial stress

2018· article· en· W2895324227 on OpenAlexaff
Lauren Hayes, Alison Malcolm, Kamal Moravej, Stephen Butt

Bibliographic record

VenueProceedings of meetings on acoustics · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNonlinear systemStress (linguistics)Geothermal gradientGeologyCoupling (piping)Orientation (vector space)Stress waveMechanicsFunction (biology)Materials sciencePhysicsMathematicsComposite materialGeophysicsGeometry

Abstract

fetched live from OpenAlex

Fractures play a significant role in nonlinear wave interactions in rocks. These same fractures are fundamental to the production of geothermal energy as well as unconventional oil and gas, so understanding them has significant practical value. In this study, we examine the nonlinear interactions of P and S waves as a function of uniaxial stress. We perform a set of experiments on two sandstone samples known to have aligned fractures taken from the same quarry but cut so that the experiment is oriented differently with respect to the fractures. Complementary measurements show that the velocity decreases with stress indicating that the applied stress opens the fractures in both samples. For most of our data, we observe a significant decrease in the nonlinear response as a function of the applied stress independent of the orientation of the fractures and the experiment. An interesting exception is the coupling of two S-waves where we observe an increase in the nonlinear response at lower stresses before a decrease as the load is increased.

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 score0.562
Threshold uncertainty score0.327

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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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