Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide

Hong, Xiaojiang; Lee, Jin Chai; Ng, Jing Lin; Abdulkareem, Muyideen; Yusof, Zeety Md; Li, Qiansha; He, Qian

doi:10.3390/nano13081405

Open AccessArticle

Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide

by

Xiaojiang Hong

^1,2

,

Jin Chai Lee

^2,*,

Jing Lin Ng

²,

Muyideen Abdulkareem

²,

Zeety Md Yusof

³,

Qiansha Li

^1,2 and

Qian He

^1,2

¹

Department of Civil Engineering, Faculty of Civil and Hydraulic Engineering, Xichang University, Xichang 615013, China

²

Department of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia

³

Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor 86400, Malaysia

^*

Author to whom correspondence should be addressed.

Nanomaterials 2023, 13(8), 1405; https://doi.org/10.3390/nano13081405

Submission received: 14 March 2023 / Revised: 10 April 2023 / Accepted: 17 April 2023 / Published: 19 April 2023

(This article belongs to the Special Issue Smart Cementitious Materials for Sustainable Building Engineering)

Download

Browse Figures

Review Reports Versions Notes

Abstract

The excellent performance of graphene oxide (GO) in terms of mechanical properties and durability has stimulated its application potential in high-strength lightweight concrete (HSLWC). However, more attention needs to be paid to the long-term drying shrinkage of HSLWC. This work aims to investigate the compressive strength and drying shrinkage behavior of HSLWC incorporating low GO content (0.00–0.05%), focusing on the prediction and mechanism of drying shrinkage. Results indicate the following: (1) GO can acceptably reduce slump and significantly increase specific strength by 18.6%. (2) Drying shrinkage increased by 8.6% with the addition of GO. A modified ACI209 model with a GO content factor was demonstrated to have high accuracy based on the comparison of typical prediction models. (3) GO not only refines the pores but also forms flower-like crystals, which results in the increased drying shrinkage of HSLWC. These findings provide support for the prevention of cracking in HSLWC.

Keywords: drying shrinkage; modified prediction model; pore structure; microstructure; high-strength lightweight concrete; shale ceramsite; graphene oxide

Share and Cite

MDPI and ACS Style

Hong, X.; Lee, J.C.; Ng, J.L.; Abdulkareem, M.; Yusof, Z.M.; Li, Q.; He, Q. Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide. Nanomaterials 2023, 13, 1405. https://doi.org/10.3390/nano13081405

AMA Style

Hong X, Lee JC, Ng JL, Abdulkareem M, Yusof ZM, Li Q, He Q. Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide. Nanomaterials. 2023; 13(8):1405. https://doi.org/10.3390/nano13081405

Chicago/Turabian Style

Hong, Xiaojiang, Jin Chai Lee, Jing Lin Ng, Muyideen Abdulkareem, Zeety Md Yusof, Qiansha Li, and Qian He. 2023. "Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide" Nanomaterials 13, no. 8: 1405. https://doi.org/10.3390/nano13081405

APA Style

Hong, X., Lee, J. C., Ng, J. L., Abdulkareem, M., Yusof, Z. M., Li, Q., & He, Q. (2023). Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide. Nanomaterials, 13(8), 1405. https://doi.org/10.3390/nano13081405

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI