Evaluation of horizontal homogeneity of geomaterials with the distance analysis of surface waves
Bibliographic record
Abstract
A new approach to surface wave analysis, termed the distance analysis of surface waves (DASW) method, is presented. The method examines the phase of surface waves with respect to distance to determine horizontal homogeneity of a medium. The method is verified theoretically and numerically with finite-difference simulations. Several cases are examined, including a half-space, a half-space comprised of two distinct mediums, a medium with a linear variation of elastic properties, and a half-space containing a rectangular void. The use of complementary information in the time domain, frequency domain, and frequencywavenumber domain is presented as a useful technique for the understanding of wave propagation in complex geological settings. The DASW method accurately identifies horizontal changes in medium properties. Therefore, the method evaluates the condition of horizontal homogeneity, which is necessary for the use of the spectral analysis of surface waves (SASW) method, and complements the information commonly obtained using the SASW method.Key words: surface waves, horizontal homogeneity, phase velocity, wave propagation simulations, finite-difference modeling, frequency domain analysis, fk plots.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".