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pith:2GMLTC4D

pith:2026:2GMLTC4DKOOG574U7Y75UK4JZT
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Radial-Component Predominant-Mode Inversion of Rayleigh Waves: Application to DAS-based Site Characterization

Brady R. Cox, Mrinal Bhaumik

A radial-component predominant-mode inversion framework matches DAS radial dispersion data to the theoretical Rayleigh mode with highest radial participation, eliminating manual mode indexing for reliable shear-wave velocity profiles.

arxiv:2605.16717 v1 · 2026-05-16 · physics.geo-ph · cs.SD

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Claims

C1strongest claim

The RCPM framework eliminates the need for explicit modal indexing, provides a component-consistent interpretation of radial-component dispersion data, and substantially reduces reliance on subjective analyst-driven modal interpretations while yielding reliable Vs profiles on synthetic and field data.

C2weakest assumption

That the theoretical mode with maximum modal participation in the radial component accurately represents the measured dominant radial dispersion trends, particularly under complex stratigraphic conditions with strong velocity contrasts or reversals (abstract, paragraph on modal energy distribution).

C3one line summary

RCPM inversion framework for DAS radial-component dispersion data that accounts for directivity and modal sensitivity to retrieve Vs profiles without explicit modal indexing.

References

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[1] Computation of the Radial-Component Predominant-Mode (RCPM) This section presents the methodology adopted to compute the radial-component predominant -mode of Rayleigh waves. Herein, we define the pre 2026
[2] Dispersion Behavior of Vertical and Radial Components of Rayleigh Waves In this section, the dispersion behavior of Rayleigh waves obtained from the vertical and radial components is examined. To inve 2022
[3] Inversion Framework: Synthetic Examples This section presents the implementation of the proposed RCPM inversion framework to the three synthetic ground models discussed above . The formulation of inve 2024
[4] current-to-𝑝best/1 1997
[5] To demonstrate its effectiveness, the proposed approach is compared with CMM inversion strategies 2008
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First computed 2026-05-20T00:02:38.155849Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d198b98b83539c6eff94fe3fda2b89ccc8e81fac4f80192a4e0fa13056febfed

Aliases

arxiv: 2605.16717 · arxiv_version: 2605.16717v1 · doi: 10.48550/arxiv.2605.16717 · pith_short_12: 2GMLTC4DKOOG · pith_short_16: 2GMLTC4DKOOG574U · pith_short_8: 2GMLTC4D
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/2GMLTC4DKOOG574U7Y75UK4JZT \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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    "primary_cat": "physics.geo-ph",
    "submitted_at": "2026-05-16T00:04:03Z",
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