Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete.

ABSTRACT: Compressive and flexural strength are the crucial properties of a material. The strength of recycled aggregate concrete (RAC) is comparatively lower than that of natural aggregate concrete. Several factors, including the recycled aggregate replacement ratio, parent concrete strength, water-cement ratio, water absorption, density of the recycled aggregate, etc., affect the RAC's strength. Several studies have been performed to study the impact of these factors individually. However, it is challenging to examine their combined impact on the strength of RAC through experimental investigations. Experimental studies involve casting, curing, and testing samples, for which substantial effort, price, and time are needed. For rapid and cost-effective research, it is critical to apply new methods to

SUBMITTER: Yuan X 

PROVIDER: S-EPMC9025364 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature