Compressive strength prediction and composition design of structural lightweight concretes using machine learning methods

Compressive strength prediction and composition design of structural lightweight concretes using machine learning methods

ABSTRACT: Introduction. Reducing the density, increasing the strength and other physical-technical characteristics of lightweight concretes are urgent tasks of modern building materials science. To solve them, it is necessary to consider new approaches to the development of compositions of cement sy...

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Bibliographic Details
Main Authors: Artemy S. Balykov, Elena A. Kaledina, Sergey V. Volodin
Format: Article
Language:English
Published: OOO "CNT «NanoStroitelstvo» 2023-04-01
Series:Нанотехнологии в строительстве
Subjects:
lightweight concrete
nanomodifier
complex additive
nanoparticle
hollow microsphere
compressive strength
design
prediction
optimization
machine learning
algorithm
model
quality metric
Online Access:http://nanobuild.ru/en_EN/journal/Nanobuild-2-2023/171-186.pdf

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