Exploring Surface Wave Propagation Mechanisms in Layered Materials

Authors

  • A J Khan Professor, Department of Mathematics, MATS University, Raipur Author
  • Nisha Pathak Research Scholar, Department of Mathematics, MATS University, Raipur Author

Keywords:

Rayleigh waves, Love waves, dispersion curves, layered media, shear-wave velocity

Abstract

Surface wave propagation in layered materials represents a fundamental domain of applied geophysics and structural engineering, with direct relevance to seismic site characterization and non-destructive evaluation. This study investigates the mechanisms governing Rayleigh and Love wave propagation across multi-layered elastic media, focusing on phase velocity dispersion, mode superposition, and depth-dependent shear-wave velocity estimation. The primary objective is to analyze how layer stiffness contrasts and thickness ratios influence dispersion curve morphology. A computational-analytical methodology was adopted, utilizing the Thomson-Haskell transfer matrix formulation applied to synthetic and field-validated datasets compiled from published geophysical surveys. The central hypothesis posits that increasing impedance contrast between successive layers significantly amplifies higher-mode Rayleigh wave contributions, complicating fundamental-mode inversion. Results derived from five structured data tables confirm that dispersion sensitivity is strongly frequency-dependent, with shallow layers dominating high-frequency response and deeper layers controlling low-frequency behavior. Statistical analysis of inverted Vs profiles yields mean errors below 2%, affirming inversion reliability. The study concludes that multi-mode surface wave analysis substantially improves subsurface velocity model accuracy compared to single-mode approaches, offering critical implications for earthquake engineering site assessment across Indian geologic settings.

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Published

2024-03-29

How to Cite

Exploring Surface Wave Propagation Mechanisms in Layered Materials. (2024). International Journal of Engineering and Science Research, 14(1), 391-399. https://ijesr.org/index.php/ijesr/article/view/1500

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