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

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...

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Main Authors: Xiaojiang Hong, Xiaojiang Hong, Jin Chai Lee, Jin Chai Lee, Jing Lin Ng, Jing Lin Ng, Muyideen Abdulkareem, Muyideen Abdulkareem, Zeety Md Yusof, Zeety Md Yusof, Qiansha Li, Qiansha Li, Qian He, Qian He
Format: Article
Language:English
Published: Mdpi 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/10024/1/J16091_1a5b1a8b7dd277dfdc559f41d422a754.pdf
http://eprints.uthm.edu.my/10024/
https://doi.org/10.3390/nano13081405
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spelling my.uthm.eprints.100242023-10-11T03:21:29Z http://eprints.uthm.edu.my/10024/ Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide Xiaojiang Hong, Xiaojiang Hong Jin Chai Lee, Jin Chai Lee Jing Lin Ng, Jing Lin Ng Muyideen Abdulkareem, Muyideen Abdulkareem Zeety Md Yusof, Zeety Md Yusof Qiansha Li, Qiansha Li Qian He, Qian He T Technology (General) 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. Mdpi 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10024/1/J16091_1a5b1a8b7dd277dfdc559f41d422a754.pdf Xiaojiang Hong, Xiaojiang Hong and Jin Chai Lee, Jin Chai Lee and Jing Lin Ng, Jing Lin Ng and Muyideen Abdulkareem, Muyideen Abdulkareem and Zeety Md Yusof, Zeety Md Yusof and Qiansha Li, Qiansha Li and Qian He, Qian He (2023) Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide. Nanomaterials, 13 (1405). pp. 1-19. https://doi.org/10.3390/nano13081405
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Xiaojiang Hong, Xiaojiang Hong
Jin Chai Lee, Jin Chai Lee
Jing Lin Ng, Jing Lin Ng
Muyideen Abdulkareem, Muyideen Abdulkareem
Zeety Md Yusof, Zeety Md Yusof
Qiansha Li, Qiansha Li
Qian He, Qian He
Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
description 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.
format Article
author Xiaojiang Hong, Xiaojiang Hong
Jin Chai Lee, Jin Chai Lee
Jing Lin Ng, Jing Lin Ng
Muyideen Abdulkareem, Muyideen Abdulkareem
Zeety Md Yusof, Zeety Md Yusof
Qiansha Li, Qiansha Li
Qian He, Qian He
author_facet Xiaojiang Hong, Xiaojiang Hong
Jin Chai Lee, Jin Chai Lee
Jing Lin Ng, Jing Lin Ng
Muyideen Abdulkareem, Muyideen Abdulkareem
Zeety Md Yusof, Zeety Md Yusof
Qiansha Li, Qiansha Li
Qian He, Qian He
author_sort Xiaojiang Hong, Xiaojiang Hong
title Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
title_short Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
title_full Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
title_fullStr Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
title_full_unstemmed Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
title_sort prediction model and mechanism for drying shrinkage of high-strength lightweight concrete with graphene oxide
publisher Mdpi
publishDate 2023
url http://eprints.uthm.edu.my/10024/1/J16091_1a5b1a8b7dd277dfdc559f41d422a754.pdf
http://eprints.uthm.edu.my/10024/
https://doi.org/10.3390/nano13081405
_version_ 1779440609762738176
score 13.223943

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