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Compressible viscoelasticity: stability of solutions for homogeneous plane-Earth models

2003· article· en· W2098995023 on OpenAlexaff
Volker Klemann, Patrick Wu, Detlef Wolf

Bibliographic record

VenueGeophysical Journal International · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBuoyancyViscoelasticityGravitational singularityCompressibilityIsotropyClassical mechanicsPhysicsMechanicsPlane (geometry)Airy functionMathematical analysisRelaxation (psychology)MathematicsGeometryThermodynamicsOptics

Abstract

fetched live from OpenAlex

Recently, Purcell has discussed the influence of gravity on load-induced perturbations of compressible, viscoelastic plane-Earth models, where the contributions arising from initial stress and internal buoyancy have been distinguished in the equation of motion. According to his results, the consideration of initial stress is mandatory, whereas that of internal buoyancy has only a minor influence on the solution. We re-examine his study using a different approach. In particular, we present analytical solutions for a homogeneous half-space and discuss the associated relaxation spectra. We show that the solution to the problem involves singularities and branch cuts in the complex s-plane in addition to the singularities caused by roots of the determinant function. Furthermore, Rayleigh—Taylor instabilities arising from internal buoyancy cannot be completely balanced by initial stress. Also, the stability margin introduced by Love for an elastic continuum cannot be ignored when applying the solution. Finally, we show that the relaxation spectra can be directly related to the spectral response of a homogeneous, compressible, viscoelastic sphere as studied in recent papers by Vermeersen and Hanyk.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.250
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), 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

Citations52
Published2003
Admission routes1
Has abstractyes

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