ORCADEMO

The project aims to advance the use of recycled aggregate in conventional concrete, developing the methodological basis for an image-based machine learning approach to overcome concrete performance uncertainty when smaller-size natural aggregates are replaced by recycled materials. Efficient anticipation of cost- and environment-effective mix design adjustments shall be enabled by training image processing networks to predict concrete performance from standardized images of smaller-size recycled aggregates.