Machine Learning-Based Prediction of the Compressive Strength of Brazilian Concretes: A Dual-Dataset Study
Lately, several machine learning (ML) techniques are emerging as alternative and efficient ways to predict how component properties influence the properties of the final mixture. In the area of civil engineering, recent research already uses ML techniques with conventional concrete dosages. The impo...
Main Authors: | Vitor Pereira Silva, Ruan de Alencar Carvalho, João Henrique da Silva Rêgo, Francisco Evangelista |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/16/14/4977 |
Similar Items
-
Impact of maturation conditions for concrete on its compressive strength
by: Joanna Witkowska-Dobrev, et al.
Published: (2020-08-01) -
Comparison of Compressive Strength of Concrete Using White Portland Cement with Gray Cement
by: Arusmalem Ginting, et al.
Published: (2022-04-01) -
Concrete Overstrength: Assessment of Field Strength Seeking Insights for Overdesign Optimization
by: Rodrigo Antunes
Published: (2022-01-01) -
Basics of concrete /
by: 407235 Landgren, Robert, et al.
Published: (1982) -
Properties of high strength concrete with reduced amount of Portland cement– a case study
by: Raghavendra Y B, et al.
Published: (2021-01-01)