Effective-mode analysis of elastic waves

Surface wave methods offer a cost-effective and non-invasive way to derive the shear wave velocity profile of the subsurface. Traditional surface wave inversions rely on theoretical modal curves derived from free-vibration assumptions, neglecting near-field effects, source–receiver geometry and the influence of other elastic waves. In real-world applications, the observed dispersion data often represent a superposition of multiple modes affected by body waves, leaky and evanescent waves, and acquisition layout. These complexities frequently lead to mode misidentification, particularly in limited acquisition spreads, shallow bedrock conditions and irregularly dispersive media. This study introduces an effective-mode-based elastic wave analysis method, offering a solution to the problem of mode misidentification. The effective mode is computed using higher-order thin-layer method-based active-source modelling, which incorporates complete wavefield effects and source–receiver configuration. Inversion is performed using particle swarm optimisation across diverse field scenarios, addressing the problem of near-field effects, modal osculation, higher-mode skipping and mode jumps due to embedded stiff layers. Synthetic studies demonstrate the consistency of the method across multiple source offsets, enabling the framework to capture offset-dependent behaviour. Synthetic and field investigations demonstrate that the effective-mode inversion reconstructs velocity profiles with improved accuracy, offering a reliable alternative to conventional modal inversion.

Authors

Institutions

Publication Details

Journal
Géotechnique
Published
2026-01-06
DOI
https://doi.org/10.1680/jgeot.25.00075
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effective-mode analysis of elastic waves

Mrinal Bhaumik, Tarun Naskar
Géotechnique
Seismic Waves and Analysis
article

Effective-mode analysis of elastic waves

Mrinal Bhaumik, Tarun Naskar
article en

Abstract

Surface wave methods offer a cost-effective and non-invasive way to derive the shear wave velocity profile of the subsurface. Traditional surface wave inversions rely on theoretical modal curves derived from free-vibration assumptions, neglecting near-field effects, source–receiver geometry and the influence of other elastic waves. In real-world applications, the observed dispersion data often represent a superposition of multiple modes affected by body waves, leaky and evanescent waves, and acquisition layout. These complexities frequently lead to mode misidentification, particularly in limited acquisition spreads, shallow bedrock conditions and irregularly dispersive media. This study introduces an effective-mode-based elastic wave analysis method, offering a solution to the problem of mode misidentification. The effective mode is computed using higher-order thin-layer method-based active-source modelling, which incorporates complete wavefield effects and source–receiver configuration. Inversion is performed using particle swarm optimisation across diverse field scenarios, addressing the problem of near-field effects, modal osculation, higher-mode skipping and mode jumps due to embedded stiff layers. Synthetic studies demonstrate the consistency of the method across multiple source offsets, enabling the framework to capture offset-dependent behaviour. Synthetic and field investigations demonstrate that the effective-mode inversion reconstructs velocity profiles with improved accuracy, offering a reliable alternative to conventional modal inversion.

Géotechnique
Utah State University (US), Indian Institute of Technology Madras (IN)
Openalex Percentile: Top 97%
Seismic Waves and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.