Mixture Optimization of Recycled Aggregate Concrete Using Hybrid Machine Learning Model

Mixture Optimization of Recycled Aggregate Concrete Using Hybrid Machine Learning Model

Recycled aggregate concrete (RAC) contributes to mitigating the depletion of natural aggregates, alleviating the carbon footprint of concrete construction, and averting the landfilling of colossal amounts of construction and demolition waste. However, complexities in the mixture optimization of RAC...

Full description

Bibliographic Details
Main Authors: Itzel Nunez, Afshin Marani, Moncef L. Nehdi
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Materials
Subjects:
recycled aggregate concrete
machine learning
model
Gaussian process
deep learning
gradient boosting
Online Access:https://www.mdpi.com/1996-1944/13/19/4331

Similar Items

Similar Items