Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques

Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques

This study focuses on the prediction models for four parameters related to the fresh and rheological properties of 3DP-FRC: spreading diameters (S _PD ), dynamic yield stress (DYs), static yield stress (SYs) and plastic viscosity (PV), respectively. Five machine learning (ML) algorithms were employe...

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Bibliographic Details
Main Authors: Risul Islam Rasel, Md Minaz Hossain, Md Hasib Zubayer, Chaoqun Zhang
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Materials Research Express
Subjects:
fresh and rheology properties
3D printing concrete with fiber-based (3DP-FRC)
ML algorithm
fiber-type depended analysis
sensitivity analysis
Online Access:https://doi.org/10.1088/2053-1591/ad9890
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