Multimodal machine learning approach for exploring the 28-day compressive strength of nanomaterials-reinforced cement composites-Reference-Cited by-同舟云学术

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Multimodal machine learning approach for exploring the 28-day compressive strength of nanomaterials-reinforced cement composites

Published:2023-07-14 Issue:3 Volume:23 Page:
ISSN:1644-9665
Container-title:Archives of Civil and Mechanical Engineering
language:en
Short-container-title:Archiv.Civ.Mech.Eng

Author:

Yang Jinlong,Zeng Bowen,Hang Ziyan,Fan Yucheng,Ni Zhi,Feng Chuang^ORCID,Liu Chuang,Yang Jie

Funder

Innovative and Entrepreneurial Talents of Jiangsu Province of China

Postgraduate Research & Practice Innovation Program of Jiangsu Province of China

Australian Research Council grant under the Discovery Project Scheme

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s43452-023-00738-z.pdf

Reference77 articles.

1. Huang J, Rodrigue D, Guo P. Effect of multi-wall carbon nanotubes on the flexural performance of cement based composites. Arch Civ Mech Eng. 2021;21:80. https://doi.org/10.1007/s43452-021-00229-z.

2. Krystek M, Ciesielski A, Samorì P. Graphene-Based Cementitious Composites: Toward Next-Generation Construction Technologies. Adv Func Mater. 2021;31:2101887. https://doi.org/10.1002/adfm.202101887.

3. Najafishad S, Manesh H, Zebarjad S, Hataf N, Mazaheri Y. Production and investigation of mechanical properties and electrical resistivity of cement-matrix nanocomposites with graphene oxide and carbon nanotube reinforcements. Arch Civ Mech Eng. 2020;20:1–13. https://doi.org/10.1007/s43452-020-00059-5.

4. Liew K, Kai M, Zhang L. Carbon nanotube reinforced cementitious composites: An overview. Compos Part A Appl Sci Manuf. 2016;91:301–23. https://doi.org/10.1016/j.compositesa.2016.10.020.

5. Liew K, Kai M, Zhang L. Mechanical and damping properties of CNT-reinforced cementitious composites. Compos Struct. 2017;160:81–8. https://doi.org/10.1016/j.compstruct.2016.10.043.

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