Eco-friendly 3D printed concrete with fine aggregate replacements: Fabrication, characterization and machine learning prediction

Ronghua Zhu; King James I. Egbe; Hadi Salehi; Zhongtian Shi; Pengcheng Jiao

doi:10.1016/j.conbuildmat.2024.134905

Eco-friendly 3D printed concrete with fine aggregate replacements: Fabrication, characterization and machine learning prediction

Ronghua Zhu
, King James I. Egbe
, Hadi Salehi
, Zhongtian Shi
, Pengcheng Jiao

Ocean College Zhejiang University
Yangjiang Offshore Wind Energy Laboratory
University of New Hampshire
Institute for Micromanufacturing

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	134905
Journal	Construction and Building Materials
Volume	413
DOIs	https://doi.org/10.1016/j.conbuildmat.2024.134905
State	Published - Jan 26 2024

ASJC Scopus Subject Areas

Civil and Structural Engineering
Building and Construction
General Materials Science

Keywords

3D printed concrete
Artificial intelligence prediction
Fine aggregate replacements
Mechanical characterization
Numerical simulations

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10.1016/j.conbuildmat.2024.134905

Cite this

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title = "Eco-friendly 3D printed concrete with fine aggregate replacements: Fabrication, characterization and machine learning prediction",

keywords = "3D printed concrete, Artificial intelligence prediction, Fine aggregate replacements, Mechanical characterization, Numerical simulations",

author = "Ronghua Zhu and Egbe, \{King James I.\} and Hadi Salehi and Zhongtian Shi and Pengcheng Jiao",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Ltd",

year = "2024",

month = jan,

day = "26",

doi = "10.1016/j.conbuildmat.2024.134905",

language = "English",

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TY - JOUR

T1 - Eco-friendly 3D printed concrete with fine aggregate replacements

T2 - Fabrication, characterization and machine learning prediction

AU - Zhu, Ronghua

AU - Egbe, King James I.

AU - Salehi, Hadi

AU - Shi, Zhongtian

AU - Jiao, Pengcheng

PY - 2024/1/26

Y1 - 2024/1/26

KW - 3D printed concrete

KW - Artificial intelligence prediction

KW - Fine aggregate replacements

KW - Mechanical characterization

KW - Numerical simulations

UR - https://www.scopus.com/pages/publications/85181955600

UR - https://www.scopus.com/pages/publications/85181955600#tab=citedBy

U2 - 10.1016/j.conbuildmat.2024.134905

DO - 10.1016/j.conbuildmat.2024.134905

M3 - Article

AN - SCOPUS:85181955600

SN - 0950-0618

VL - 413

JO - Construction and Building Materials

JF - Construction and Building Materials

M1 - 134905

ER -

Eco-friendly 3D printed concrete with fine aggregate replacements: Fabrication, characterization and machine learning prediction

ASJC Scopus Subject Areas

Keywords

Access to Document

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