Prediction of Concrete Compressive Strength Using a Back-Propagation Neural Network Optimized by a Genetic Algorithm and Response Surface Analysis Considering the Appearance of Aggregates and Curing Conditions

Prediction of Concrete Compressive Strength Using a Back-Propagation Neural Network Optimized by a Genetic Algorithm and Response Surface Analysis Considering the Appearance of Aggregates and Curing Conditions

In the present research, the authors have attempted to examine the compressive strength of conventional concrete, which is made using different aggregate sizes and geometries considering various curing temperatures. To this end, different aggregate geometries (rounded and angular) were utilized in v...

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Bibliographic Details
Main Authors: Kazem Reza Kashyzadeh, Nima Amiri, Siamak Ghorbani, Kambiz Souri
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Buildings
Subjects:
concrete compressive strength
appearance of aggregates
curing temperature
response surface analysis
artificial neural network
genetic algorithm
Online Access:https://www.mdpi.com/2075-5309/12/4/438

Internet

https://www.mdpi.com/2075-5309/12/4/438

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