Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete
Author:
Publisher
Elsevier BV
Subject
Materials Science (miscellaneous)
Reference89 articles.
1. A comprehensive review on recycled aggregate and recycled aggregate concrete;Wang;Resour. Conserv. Recycl.,2021
2. Characterizing the generation and flows of construction and demolition waste in China;Zheng;Constr. Build. Mater.,2017
3. Strength analysis and validation of recycled aggregate concrete;Barhmaiah;Mater. Today: Proc.,2021
4. Carbonation behaviour of recycled aggregate concrete;Silva;Cem. Concr. Compos.,2015
5. Attitude towards sustainability, study contents and the use of recycled concrete in building construction-case study Germany and Switzerland;Katerusha;J. Clean. Prod.,2021
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