Prof. Dr. -Ing. habil. Kerstin Lesny and the research associate Andra Ebener. Ebener took part in the 9th International Symposium for Geotechnical Safety and Risk (ISGSR), which was held in Oslo.
As a member of the GEOSNet (geotechnical safety network), Prof. Lesny was involved as chair for the keynote lecture by Prof. Dariusz Lydzba entitled "'Numerical safety assessment of the dams of the "Zelazny Most" tailings pond'". Our colleague Andra Ebener presented the joint contribution entitled "Understanding the concept of safety and reliability introduced by the 2nd generation Eurocode 7" in the session "Reliability- and risk-based code developments II". This was about the introduction of the reliability-based concept for the verification of geotechnical structures as an alternative to the previously common partial safety concept. The presentation and subsequent discussion provided an important platform to inform the scientific community about the practical application of these new standards and to discuss the resulting implications for engineering practice.
In addition to the presentations, there was also the opportunity for further training. Our employee took part in the short course "An Introduction to Bayesian Data Analysis". Bayesian methods are increasingly being used in geotechnical research to better model uncertainties and carry out risk assessments more precisely.
The International Symposium for Geotechnical Safety and Risk (ISGSR) is a series of international conferences held every two years to address geotechnical engineering topics, including geotechnical hazards, risk and uncertainty assessment, associated methods and their practical application. The conference brings together researchers and practitioners from industry, academia and government to present the latest developments and innovations in the field.
The ISGSR focuses on geohazards (addressing hazards such as landslides, dams, tsunamis, snow avalanches, earthquakes and environmentally related hazards), risk and uncertainty assessment (discussing probabilistic and risk-based methods in geotechnical engineering, the quantification of uncertainties and the development of reliability standards), Digital technologies (use of digital soil and field databases, machine learning and digital twins for geotechnical research and practice) and practical applications such as best practices and applications of risk analysis in offshore projects and other areas of geoengineering.
