Ideas

Cement, which is the binder in concrete, accounts for 3-4% of Sweden's total CO2 emissions. An important way to reduce concrete's climate impact is therefore to replace part of the cement with alternative additive materials, such as slag or fly ash. Mixing in additives does, however, affect the properties of the concrete, e.g. then the early strength development becomes slower and the concrete also becomes more temperature sensitive, which is a problem when casting during the colder months of the year. It is therefore necessary to increase knowledge of how the new climate-improved concrete types are affected by different climate conditions.

The purpose of this project is to apply AI/ML to analyze and propose algorithms that can be used to more precisely predict the concrete's temperature and strength development. These algorithms must then be able to be implemented in smart tools intended as decision support for concrete manufacturers, contractors to facilitate and optimize the use of climate-improved concrete in construction.