Dosage of admixture for 3D printing based on optimization

Many chemicals can be used for the mix design of concrete 3D printing. With a traditional experimental approach, the number of experiments to conduct is exponential. The objective of this study is to develop a cement-based material suitable for 3D concrete printing applications by utilizing optimization and predictive algorithms. The question to answer is if the artificial intelligence can add value in the mix design by reducing the material and time required to develop a mix with the desirable properties. After collecting enough data in the lab, a predictive algorithm will be developed to predict the properties of the mixes. The optimization algorithm will then rely on the predicted values until the desired composition is obtained.

Faculty Supervisor:

Claudiane Ouellet-Plamondon

Student:

Partner:

Master Builders Solutions Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program: