Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP230100678
Funding Status
Active
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Funded Activity Summary
Modernise geotechnical investigation and analysis with machine learning. The project aims to address the ineffectiveness associated with risk analysis of geotechnical systems by reducing variabilities and by rigorously quantifying such variabilities. It is expected to generate new knowledge in machine-learning-aided risk analysis and in virtual modelling of multiphase-multiphysics-multiscale problems involving random variables. Expected outcomes are datasets and computer tools that are equipped with new functionalities including parameter optimisation, uncertainty quantification, machine-learning based surrogate models and risk analysis. These tools will help to bridge the increasing gap between academic research and engineering practice, transform geo-risk analysis and optimise complex construction processes.Funded Activity Details
Start Date: 2023
End Date: 12-2025
Funding Scheme: Discovery Projects
Funding Amount: $450,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Civil engineering | Civil geotechnical engineering
ANZSRC Socio-Economic Objective (SEO)
