Volume 47, N. 3

Special Issue: Deformation Characteristics of Geomaterials: Honorary & Special Lectures (Invited Editors: S. Rios, A. Viana da Fonseca, C. Ferreira), in progress, July-September 2024

Emerging technologies and advanced analyses for non-invasive near-surface site characterization

Review Article

Volume 47, N. 3, Special Issue: Deformation Characteristics of Geomaterials: Honorary & Special Lectures (Invited Editors: S. Rios, A. Viana da Fonseca, C. Ferreira), in progress, July-September 2024 | DOWNLOAD PDF (64 downloads)

Abstract

The in-situ small-strain shear modulus of soil and rock materials is a parameter of paramount importance in geotechnical modeling. It can be derived from non-invasive geophysical surveys, which provide the possibility of testing the subsurface in its natural and undisturbed condition by inferring the velocity of propagation of shear waves. In addition, for soil dynamics and earthquake engineering applications, the small-strain damping ratio plays a relevant role, yet its estimation is still challenging, lacking consolidated approaches for its in-situ evaluation. Recent advancements in instrumentation, such as distributed acoustic sensing (DAS), combined with advanced analysis methodologies for the interpretation of seismic wave propagation (e.g., machine learning and full waveform inversion), open new frontiers in site characterization. This paper presents and compares some advanced applications of measuring 1D and 2D variations in shear wave velocity and attenuation in-situ with reference to a specific case history.

Keywords: Shear wave velocity, Rayleigh waves, DAS, Damping, FWI, Machine learning,


Submitted on July 01, 2023.
Final Acceptance on December 20, 2023.
Discussion open until November 30, 2024.
DOI: 10.28927/SR.2024.006923