May/June 2023 - 94

By sharing data, the entire geotechnical
profession benefits. Consultants,
large and small, will have a
preliminary underground view of
subsurface conditions at or near their
project sites, and contractors can access
processed digital data for a more
streamlined bidding process. Data
sharing can lead to more accurate
predictions, better decision-making,
better selection of tools and locations
for subsequent exploration, and
improved safety on construction sites.
Currently, Geosetta is extracting
soil test data including standard penetration
testing, cone penetration testing
and laboratory test data, and utilizing
these data to develop models for
machine learning-based predictions.
However, it is our mission to extract
additional data sets such as foundation
testing data, geophysics and other
in-situ and laboratory testing techniques
as they are integrated into the
DIGGS framework.
Geosetta users can view historic
boring data and visualize anticipated
subsurface conditions of any nearby
site as a boring log, subsurface profile
and as a 3D model. Geosetta uses a
variety of machine learning models and
methods to provide predictions. One
method is deep neural networks.
Imagine the day when the local DOT,
building, water, sewer and streets
departments; regional power company;
and port authority all share their
geotechnical data in an easily accessible
portal. What would you do with
this wealth of knowledge? Geosetta
represents an opportunity to use your
engineering judgment and analysis to
interpret that wealth of data, decide
where additional data are necessary
and how to best utilize available
information. Our historic data can be
used for 3D visualization of the
subsurface conditions at a new project
site, determine considerations for the
design of a new project, and be easily
transferred to the contractor for their
General process to train and build machine learning models from historic geotechnical test data
Current data contributors
Snapshot from Geosetta's dynamic generation of soil profiles and predictions along a user-generated line
94 * DEEP FOUNDATIONS * MAY/JUNE 2023

May/June 2023

Table of Contents for the Digital Edition of May/June 2023

TOC
May/June 2023 - Intro
May/June 2023 - 1
May/June 2023 - 2
May/June 2023 - TOC
May/June 2023 - 4
May/June 2023 - 5
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