Rasel, Risul Islam
Hossain, Md Minaz
Zubayer, Md Hasib https://orcid.org/0009-0000-4456-3647
Zhang, Chaoqun https://orcid.org/0000-0001-8141-1888
Funding for this research was provided by:
National Natural Science Foundation of China (51605287)
State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, State Key Laboratory of Long-Life High Temperature Materials (DTCC28EE190933)
Natural Science Foundation of Shanghai (16ZR1417100)
Article Title: Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques
Journal Title: Materials Research Express
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2024-09-01
Date Accepted: 2024-11-28
Online publication date: 2024-12-10