Characterization of <i>in situ</i> rock density with SH- and Love-wave tomography: field data application
Abstract Acquiring detailed information on in situ rock density and its variability is essential for the design of shallow foundations. In this study, the 2D SH-Love full-waveform inversion (SH-Love FWI) method was used to determine rock density over large areas, eliminating the need for borings. The method takes advantage of the high sensitivity of SH- and Love-waves to material mass density, simultaneously inverts mass density and S-wave velocity (Vs), which can be used for shear modulus computation for foundation design. Validation through synthetic modeling demonstrated its capability to resolve complex subsurface profiles, including thin, high-density layers. Field experiments at two Florida sites confirmed the method's efficacy, accurately characterizing subsurface profiles of up to 18 m in depth with submeter resolution. At one site, the method identified two soil layers (density of 1400 kg/m³) and two rock layers (density of 1600 kg/m³). At another, it distinguished a soil layer (density of 1400 kg/m³), weathered and intact limestone layers (density of 1600 to 1800 kg/m³). Seismic-derived densities closely matched rock core results, confirming SH-Love FWI as a reliable tool for density estimation. Based on what we know, this is the first study to investigate and directly compare seismic-derived densities with those from rock coring samples.
Authors
- Kunyu Yang (ORCID: https://orcid.org/0000-0001-6393-399X)
- Khiem T. Tran (ORCID: https://orcid.org/0000-0002-5668-1760)
- Michael McVay (ORCID: https://orcid.org/0000-0002-5731-5711)
- Ruoyu Chen (ORCID: https://orcid.org/0000-0002-6726-2596)
- Minh Trần (ORCID: https://orcid.org/0000-0003-4637-6081)
Institutions
- University of Florida (US)
- Jiangsu University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Geophysics and Engineering
- Published
- 2025-07-25
- DOI
- https://doi.org/10.1093/jge/gxaf096
- Primary Topic
- Seismic Imaging and Inversion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Transportation
- Florida Department of Transportation
- Jiangsu University
- Jiangsu University of Science and Technology