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 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.

GRID STUDENT CONTEST!

15.07.25

We invite students worldwide to participate in the GRID Student Contest on Machine Learning for predicting soil shear parameters using curated datasets. This exciting competition will culminate in a prize ceremony at the ICITG conference, held at TU Graz, Austria, from October 13–16, 2026.

Registration is open until January 31, 2026. For more details and to access the dataset, contact lukas.leibold@students.boku.ac.at (CC to the project coordinator enrico.soranzo@boku.ac.at).

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.

GRID'S RESEARCH TAKES THE SPOTLIGHT!

26.05.25

We’re thrilled to announce that the dissemination of GRID’s groundbreaking research is off to a fantastic start! Our first wave of dissemination products has already been published in some of the most prestigious journals in the field. Curious to learn more? Head over to the Dissemination Section! Check out also the audio summary provided in the Communication Section.

DELIVERABLE 1.2 EARLY SUBMISSION!

24.03.25

Deliverable 1.2 (Guideline for the Integration of ML in Geotechnical Engineering) was successfully submitted on March 24th, ahead of the March-end deadline. The consortium is now actively working on the Communication and Dissemination Plan and the Data Management Plan (both due April 30th).

Secondments are well under way, with BOKU hosting representatives from NGI and HP, and TUM welcoming a secondment from UCC.

OUR PARTNERS

The GRID consortium is interdisciplinary and intersectoral, consisting of 9 beneficiaries and 3 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.