MGS October 2024 Meeting (Joint with SME MN) Event Page (Registration Links Below)

When:  Oct 9, 2024 from 06:00 PM to 08:30 PM (CT)

Please join us for out October 2025 MGS meeting joint with SME MN. Our first formal meeting of the season!

Held at Day Block Brewing Company in Minneapolis from 6:00-8:30 PM

(Happy hour from 6:00-7:00 (drinks included), dinner served around 7:00, and then announcements and the technical presentation from 7:30 – 8:30 pm)

Click Here to Join/Renew annual membership

Please Register for the October meeting at the following links:
Student/Gov Employee - $20: Student and Gov Employee Registration
MGS Paid Member Registration - $40: MGS Paid Member Registration
Non-Member $60: Non-Member Registration

Presenter: Chris Thielsen

Title: A methodology for supplementing rock strength information, using machine learning and point load testing

Abstract: While individual point load tests (PLT) are relatively quick and easy to conduct, full PLT campaigns and borehole drilling can be time-consuming and expensive. Machine learning techniques can be used on existing PLT and core logging data to make predictions of Is50 where point load tests haven’t been conducted, providing a quick and cheap method for obtaining large quantities of intact rock strength information. Rock mass strength can be subsequently estimated from this and used to populate a geospatial block model of rock mass strengths throughout the excavation. The PLT measurements and machine learning predictions allow us to better understand rock behavior and strength variability, crucial for optimizing the design parameters of future excavations.

Bio: Chris Thielsen M.S. is a geomechanics engineer with the Itasca Consulting Group, Inc. After graduating with a bachelor’s and master’s degree in geoengineering from the University of Minnesota, he started as a consultant with Itasca in 2021, focusing on the application of numerical modeling and machine learning to solving problems in geomechanics. His current work focuses on the creation of surrogate models with artificial neural networks and training random forest models on core logging data that are used to predict rock strength at open-pit and underground mines worldwide.

Registration is for in-person attendance only. We hope to see you there!

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Location

Day Block Brewing Company
1105 Washington Ave S
Minneapolis, MN 55415

Contact



[email protected]

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