Advancing Geotechnical Site Investigation with Automated 3D SPT-Seismic Testing
Effective geotechnical site characterization is essential for the planning, design, and long-term performance of transportation infrastructure. Unanticipated subsurface conditions (such as buried voids, weak soils, or highly variable stratigraphy) can lead to costly construction delays, change orders, and, in severe cases, structural distress or failure. For State DOTs responsible for delivering safe and resilient infrastructure, obtaining reliable information on subsurface conditions and their spatial variability is therefore critical during the early stages of project development. Current practice relies heavily on invasive point-based methods such as Standard Penetration Test (SPT), Cone Penetration Test (CPT), and rock coring. While these methods provide high-quality measurements, they sample only a very small volume of material within individual boreholes. As a result, large portions of the subsurface remain uncharacterized, and critical features (such as voids, soft zones, or irregular bedrock surfaces) remain undetected between boreholes. Surface-based geophysical methods can provide broader spatial coverage; however, their resolution typically decreases rapidly with depth due to signal attenuation, limiting their effectiveness for deeper subsurface imaging. Recent advancements in seismic testing have led to the development of the 3D SPT-seismic method, an innovative approach that integrates seismic wave analysis with conventional SPT operations to enable volumetric imaging around boreholes. The method records seismic waves generated by routine SPT hammer blows at depth using a 2D geophone array deployed at the ground surface. These waveforms are then analyzed using advanced 3D full-waveform inversion techniques to reconstruct a high-resolution three-dimensional shear-wave velocity (Vs) model surrounding the borehole. Field demonstrations at sites in Florida, Kansas, and Minnesota show that the method can produce subsurface images with approximately 2-ft spatial resolution across a large 3D domain extending up to 60 ft from the borehole at any tested depth (see additional document), with Vs profiles showing strong agreement with SPT-N values. Despite its demonstrated potential, the current implementation still requires substantial manual data processing, limiting its routine use in practice. This project aims to advance the 3D SPT-seismic method by developing automated processing workflows and practical implementation guidelines that will enable state DOTs to efficiently generate high-resolution 3D subsurface images with routine SPT site investigations. The resulting capability will help reduce subsurface uncertainty, improve risk management, and support more informed design and construction decisions for transportation projects. The primary objectives of this research are: (1) to automate the 3D SPT-seismic method and (2) to validate its applicability across a range of geological conditions commonly encountered by State DOTs to support widespread implementation. The project will focus on developing an integrated workflow that streamlines both data acquisition and analysis, enabling the method to be deployed efficiently alongside routine geotechnical investigations without disrupting standard SPT operations. For automation, seismic signals generated by SPT hammer blows will be continuously recorded using a surface geophone array for all blows without interfering with the drilling crew. Advanced machine-learning algorithms will be implemented to automate key data-processing tasks, including signal conditioning, noise suppression, event detection, and removal of low-quality records. The processed data will be then analyzed via advanced 3D full-waveform inversion (FWI) to reconstruct a high-resolution 3D shear-wave velocity (Vs) image around the borehole, extending up to approximately 60 ft into the surrounding subsurface. For validation, the methodology will be demonstrated through field testing at State DOT sites, with two test locations for each participating agency, representing a variety of soil and geological conditions. The results will be compared with SPT-N values to assess accuracy and practical benefits. By automating the analysis procedures and validating the method under real field conditions, this project will help transform the SPT-seismic approach into a practical and cost-effective tool for high-resolution geotechnical site characterization.
- Record URL:
Language
- English
Project
- Status: Programmed
- Funding: $725,000.00
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Contract Numbers:
TPF-5(581)
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Sponsor Organizations:
New York State Department of Transportation
50 Wolf Road
Albany, NY United States 12232North Carolina Department of Transportation
P.O. Box 25201
1 South Wilmington Street
Raleigh, NC United States 27611West Virginia Department of Transportation
Division of Highways
Building 5, Room A-110
Charleston, WV United States 25305-0430Texas Department of Transportation
125 E. 11th Street
Austin, TX United States 78701-2483Minnesota Department of Transportation
Transportation Building
395 John Ireland Boulevard
St Paul, MN United States 55155Kansas Department of Transportation
Eisenhower State Office Building
700 SW Harrison Street
Topeka, KS United States 66603-3754Alaska Department of Transportation and Public Facilities
Research Development & Technology Transfer
3132 Channel Dr
Juneau, AK United States -
Managing Organizations:
Kansas Department of Transportation
Eisenhower State Office Building
700 SW Harrison Street
Topeka, KS United States 66603-3754 -
Project Managers:
Behzadpour, David
- Start Date: 20260818
- Expected Completion Date: 0
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Data analysis; Data collection; Field tests; Geological surveying; Geotechnical engineering; Implementation; Machine learning; Seismic prospecting; Soil penetration test; State departments of transportation
- Subject Areas: Data and Information Technology; Geotechnology; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01999553
- Record Type: Research project
- Source Agency: Federal Highway Administration
- Contract Numbers: TPF-5(581)
- Files: RIP, STATEDOT
- Created Date: Aug 18 2026 4:26PM