Avsnitt
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In this episode NGI’s Georg H. Erharter and Tom F. Hansen talk about rock mass classification for tunnel construction and other applications. We start with a look back into early developed rock mass classification systems and then move forward up to state of the art applications of machine learning for rock mass classification and characterization that can be used today and perhaps will shape the future of this field.
SPEAKERS
Georg H. Erharter and Tom F: Hansen are both engineering geologists working in the rock engineering department of NGI. Tom F: Hansen has substantial practical experience ranging from rock engineering in coal mining at Svalbard up to engineering geological work for the Norwegian public railway authority. Today, he is finishing a PhD about the application of machine learning for rock engineering. Georg H. Erharter has brought practical experience from large alpine tunnel projects such as the Brenner- or Semmering Base tunnels to NGI and today is working in both engineering geological consultancy and research. He holds a PhD in Civil Engineering where he dealt with machine learning for geotechnics, and he is generally engaged with using modern technology to solve long standing problems of the field.
Georg H. Erharter
LinkedIn: https://www.linkedin.com/in/georg-h-erharter-b514b4125/
Google Scholar: https://scholar.google.com/citations?user=fb3-U50AAAAJ&hl=en
Tom F. Hansen
LinkedIn: https://www.linkedin.com/in/tom-f-hansen-62ba0878/
Google Scholar: https://scholar.google.com/citations?user=aqo4kowAAAAJ&hl=en
Contact: [email protected]
1st international Rock Mass Classification Conference (RMCC): https://www.rmcc2024.com/
MENTIONED PUBLICATIONS:
Bieniawski, Z. T. (1973): Engineering Classification of Jointed Rock Masses. In Civil Engineer in South Afrika, pp. 335–343.
Erharter, G. H.; Hansen, Tom F.; Qi, Shengwen; Bar, Neil; Marcher, Thomas (2023): A 2023 perspective on Rock Mass Classification Systems. In Wulf Schubert, Alexander Kluckner (Eds.): Proceedings of the 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium. CHALLENGES IN ROCK MECHANICS AND ROCK ENGINEERING. 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium. Salzburg / Austria, 9.-14. October 203. Austrian Society for Geomechanics, pp. 758–763. Available online at https://www.researchgate.net/publication/374554022_A_2023_perspective_on_Rock_Mass_Classification_Systems
Erharter, Georg H.; Bar, Neil; Hansen, Tom F.; Jain, Sumit; Marcher, Thomas (2024): International distribution and development of rock mass classification - a review. (IN REVIEW).
Hansen, T. F.; Aarset, A. (2024): Unsupervised machine learning for data-driven classification of rock mass using drilling data: How can a data-driven system handle limitations in existing rock mass classification systems? (NON PEER REVIEWED PREPRINT); Available online at http://arxiv.org/pdf/2405.02631v1.
Hansen, Tom F.; Liu, Zhongqiang; Torresen, Jim (2024): Predicting rock type from MWD tunnel data using a reproducible ML-modelling process. In Tunnelling and Underground Space Technology 152, p. 105843. Available online at https://www.sciencedirect.com/science/article/pii/S088677982400261X?via%3Dihub.
ISO 14689:2018: Geotechnical investigation and testing Identification, description and classification of rock
NGI (2015): Handbook The Q-system. Rock mass classification and support design. Available online at: https://www.ngi.no/en/research-and-consulting/infrastructure-container/tunnels-and-the-q-system/
ÖGG (2010): Guideline for the Geotechnical Design of Underground Structures with Conventional Excavation. Ground characterization and coherent procedure for the determination of excavation and support during design and construction. Translated from version 2.1. 2.1th ed. Salzburg. Available online at https://s3.nl-ams.scw.cloud/assets.oegg.at/attachments/ckdy7segc00o218lmcntn1266-geotech-rili-10-engl-endg%C3%BClitgeversion.pdf
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Sixty years ago, the American writer, scientist, and ecologist Rachel Carson published her book, Silent Spring, exposing the hazards of the pesticide DDT on the environment. For the first time, the need to regulate the industry to protect the environment became widely accepted, and environmentalism was born.
Sarah Hale and Hans Peter Arp lead the EU research and innovation project ZeroPM to tackle pollution from thousands of hazardous PM substances. They ask: What would be different had Rachel Carson discovered PFAS rather than DDT? And what key lesson should be learned to avoid more Silent Springs from happening?
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NGI's Per Sparrevik was in 2015, with two NGI colleagues, inducted into the Offshore Energy Centre's Hall of Fame in Galveston, Texas, USA for his work on suction anchors. He has been part of the development of suction buckets foundations from the early days in oil and gas projects to today's use for offshore wind turbines. Rasmus Klinkvort has talked with Per about suction buckets in general and the transition from oil and gas to offshore wind turbine projects. If you are interested in suction caisson design for offshore wind turbines this is the podcast for you.
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The PIle Soil Analsis (PISA) project was a big joint research project performed some years ago. Today the project is finalized and the outcome of the project is reported as open access article. The project has had a big influence on the industry and how we design monopiles today. Rasmus Klinkvort has talked with the academic leader of the project Professor Byron Byrne from the University of Oxford. He explains the principle and findings of the projects and also looks ahead to where new research on cyclic loading is heading. If you are interested in monopile design for offshore wind turbines this is the podcast for you.
