The goal is to use ML-based methods to develop algorithms that can be
used to predict the temperature and strength of climate-improved concrete.
These algorithms are then integrated into smart tools to proactively help
concrete producers and contractors increase and optimize the use of
climate improved concrete.
This is achieved by:
- Evaluation of AI methods for strength prediction, which are appropriate.
- Development and testing of AI model for prediction of long-term strength (28d, 56d, etc.).
- Evaluation of best AI methods for temperature forecasting.
- Development and testing of AI model for forecasting temperature trends.
- Comparisons with existing forecasting tools (Hett22, PPB) - do they match?
- Analyze and propose algorithms for notification/control based on the current
temperature forecast.
- Exploring alternative methods (e.g. Neural Network) may be a better approach
to achieve the 2030 Agenda-sustainability.