GRID

Geotechnical Resilience through Intelligent Design

ABOUT US

Geotechnical engineering has long grappled with three inherent challenges: uncertainty stemming from incomplete knowledge, heterogeneity arising from diverse geomaterial compositions, geological processes and settings, and nonlinearity resulting from complex interactions. The compounding effects of climate change exacerbate these challenges, impeding traditional analytical and numerical approaches in accurately predicting geomaterial behaviour, crucial for designing resilient infrastructure, decision-making and conducting effective risk assessments. To surmount these obstacles, our research initiative advocates for a pioneering approach to fill the knowledge gap that integrates physics and machine learning in the form of Geotechnical Resilience through Intelligent Design.

NEWS

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GRID AT FOMLIG2025

20.10.2025

The GRID project actively participated in key sessions at the FOMLIG Workshop in Florence, including the application of LLMs to landslide studies, the "2nd GeoTechathon: Multiagent LLMs," and the EduHackathon on LLMs in geotechnical education. Prof. Andy Y.F. Leung chaired sessions on using ML/AI to analyze landslide hazards in Hong Kong, while other presentations explored topics like geospatial datasets, automated forensic landslide investigations, and ML-based soil analysis.

JOIN THE STUDENT CONTEST!

06.10.2025

We are excited to announce a student contest on Machine Learning algorithms for predicting soil shear parameters, co-organized by GRID, ISSMGE TC304, TC309, and JTC2. The prize ceremony will take place at ICITG26 in Graz, Austria, on October 13–16, 2026.

See the call details, guidelines and dataset.

Good luck!

GGU AND CIVILSERVE SECONDMENT @BOKU

19.09.2025

Simon Buß and Thomas Walkemeyer, CEOs of GGU and Civilserve, along with Daniel Schöler (GGU), enjoyed a productive week hosted by BOKU. This collaboration laid the foundation for WP3 GenAI applications and successfully integrated BOKU's GRAI Web-App into GGU Connect via an API for particle size distribution prediction from soil images. Dive deeper into the story by tuning into Thomas' podcast on Tiefgruending!

GRID AT ISGSR2025 IN OSLO

28.08.2025

The ISGSR2025 symposium in Oslo provided an excellent platform for the GRID project. Hosted by Dr. Zhongqiang Liu of NGI, the event featured active contributions from TUM, UCC, UL, HP, and NGI. At the symposium, the 6th Machine Learning in Geotechnics Dialogue was convened by the GRID project coordinator. Additionally, a BOKU team earned the Honourable Mention Award in the Student Data Science Competition.

KIDS LEARN AI IN GEOTECHNICS!

08.07.25

What happens when curious young minds meet cutting-edge technology? Magic! Today, GRID secondee Fernando Rizzato (UNSJ/IDIA), BOKU's lab wizard Anand D'Souza, and GRID project coordinator Enrico Soranzo teamed up to introduce 20 bright kids to the exciting world of AI in geotechnics.

Through hands-on activities, they explored how artificial intelligence is shaping the field, its game-changing advantages, and the challenges it brings. This inspiring event was part of the Children's University in Vienna, where the next generation gets a taste of academia and innovation. Read more under communication.

OUR PARTNERS

The GRID consortium is interdisciplinary and intersectoral, consisting of 9 beneficiaries and 4 associated partners. GRID involves major stakeholders in its team across the non-academic sectors of engineering design and machine learning consulting, which increases the exploitation potential of research outcomes. The interdisciplinary team of academic partners brings a wide spectrum of expertise, such as tunnelling, tailing dams, soil-structure interaction and geotechnical earthquake engineering, field testing, geohazard mitigation and constitutive modelling.