Tomographic Dst Algorithm For Stone Column Site Imaging And Characterization

- Organization:
- Deep Foundations Institute
- Pages:
- 10
- File Size:
- 573 KB
- Publication Date:
Abstract
Stone columns are used in geotechnical site remediation to increase load-bearing capacity and
reduce settlement of foundations. Stone columns also improve slope stability and increase the
shear strength of a soil. A very challenging problem is to characterize the in-situ shear wave
velocities from data acquired from Downhole Seismic Testing (DST) after the insertion of stone
columns. DST is an important geotechnical testing tool for site characterization that provides low
strain (<10-5) in-situ interval compression and shear wave velocity estimates, but the postanalysis
of seismic data acquired from DST in the presence of stone columns is very challenging
due to the resulting complicated in-situ soil conditions. To obtain the right results it is necessary
to use an algorithm that incorporates source wave raypath refraction. Starting with the Normal
Moveout Seismic Cone Tomographic Testing (NMO-SCTT) algorithm developed some years
ago, this paper outlines the modifications and additions made to this NMO-SCTT algorithm to
facilitate stone column site characterization. To dramatically reduce the optimal solution space
for the estimated interval velocities the paper also described a priori conditions that are applied
based on the unique nature of the stone column site conditions.
Citation
APA:
Tomographic Dst Algorithm For Stone Column Site Imaging And CharacterizationMLA: Tomographic Dst Algorithm For Stone Column Site Imaging And Characterization. Deep Foundations Institute,