CORDIS Project
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This project aims to integrate machine learning into geotechnical engineering to tackle challenges such as climate change and soil variability. By enhancing design efficiency and reducing material use, the initiative seeks to revolutionize the field and promote sustainable practices.
Our proposed research initiative seeks to propel machine learning into the forefront of geotechnical engineering, with a vision to address critical challenges and revolutionise the field for the betterment of society.
The overarching goals of our project align with the need to confront uncertainty, combat climate change through zero carbon emission strategies, address soil parameter heterogeneity, expedite finite element (FE) calculations e.g., for reliability analyses, and enhance design effici…
UNIVERSITAET FUER BODENKULTUR WIEN
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Napoli
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
NORWEGIAN GEOTECHNICAL INSTITUTE
Norway, OSLO
Type: Research institute
Activity type: Research Organisations
SME: No
Germany, Muenchen
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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