Automating core logging: ML-based pipeline for jet grout columns

Time: 12.10.2026 at 10am 

Place: SIMH-DG-02, Simonyhaus, Peter-Jordan-Strasse 65, 1180 Vienna

Participants will learn how image-based data processing and machine-learning methods can support the identification, classification, and documentation of core samples. The session focuses on developing an efficient, consistent, and scalable pipeline for geotechnical data evaluation.

Topics include:

• Fundamentals of core logging for jet grout columns
• Preparation and processing of core images
• Machine-learning methods for automated feature recognition
• Data annotation, model training, and validation
• Integration into geotechnical project documentation
• Opportunities and limitations of automation in engineering practice

The class is aimed at students, researchers, and professionals interested in geotechnical engineering, digital construction, machine learning, and automated data analysis.

Further information about the GRID project is available at grid.boku.ac.at