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

被引:0
|
作者
Hong, Xiaojiang [1 ,2 ]
Lee, Jin Chai [2 ]
Ng, Jing Lin [2 ]
Abdulkareem, Muyideen [2 ]
Yusof, Zeety Md [3 ]
Li, Qiansha [1 ,2 ]
He, Qian [1 ,2 ]
机构
[1] Xichang Univ, Fac Civil & Hydraul Engn, Dept Civil Engn, Xichang 615013, Peoples R China
[2] UCSI Univ, Fac Engn Technol & Built Environm, Dept Civil Engn, Kuala Lumpur 56000, Malaysia
[3] Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, Dept Civil Engn, Johor Baharu 86400, Malaysia
关键词
drying shrinkage; modified prediction model; pore structure; microstructure; high-strength lightweight concrete; shale ceramsite; graphene oxide; OIL PALM SHELL; AGGREGATE CONCRETE; PERFORMANCE; DISPERSION; CERAMSITE; BEHAVIOR; DESIGN; AGENT; CREEP; FIBER;
D O I
10.3390/nano13081405
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] New approach for shrinkage prediction of high-strength lightweight aggregate concrete
    Costa, Hugo
    Julio, Eduardo
    Lourenco, Jorge
    CONSTRUCTION AND BUILDING MATERIALS, 2012, 35 : 84 - 91
  • [2] Compressive strength prediction model of lightweight high-strength concrete
    Zhang, L. N.
    He, D. P.
    Xu, W. Y.
    Zhao, Q. Q.
    Teng, S. B.
    MAGAZINE OF CIVIL ENGINEERING, 2022, 115 (07):
  • [3] Comparison of prediction models for shrinkage and creep of high-strength, lightweight aggregate concrete
    Mei, Sheng-qi
    Xie, Hui-bing
    Su, Li
    Gong, Jian
    Guo, Kun
    Wang, Yuan-feng
    GREEN BUILDING, ENVIRONMENT, ENERGY AND CIVIL ENGINEERING, 2017, : 31 - 35
  • [4] Shrinkage and creep of high-strength lightweight aggregate concrete
    Sun, Hailin
    Ye, Lieping
    Ding, Jiantong
    Guo, Yushun
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2007, 47 (06): : 765 - 767
  • [5] A proposal of prediction model for autogenous shrinkage of ultra high-strength concrete
    Teramoto A.
    Maruyama I.
    Tanimura M.
    Mitani Y.
    Journal of Structural and Construction Engineering, 2010, 75 (654): : 1421 - 1430
  • [6] Fuzzy logic model for the prediction of bond strength of high-strength lightweight concrete
    Tanyildizi, Harun
    ADVANCES IN ENGINEERING SOFTWARE, 2009, 40 (03) : 161 - 169
  • [7] Mechanical Properties and Microstructure of High-Strength Lightweight Concrete Incorporating Graphene Oxide
    Hong, Xiaojiang
    Lee, Jin Chai
    Qian, Bo
    NANOMATERIALS, 2022, 12 (05)
  • [8] Study on the drying shrinkage of the manufactured sand high-strength concrete
    Wu, Da-Hong
    CIVIL ENGINEERING AND URBAN PLANNING IV, 2016, : 625 - 627
  • [9] Shrinkage of high-strength lightweight aggregate concrete exposed to dry environment
    Zhang, MH
    Li, L
    Paramasivam, P
    ACI MATERIALS JOURNAL, 2005, 102 (02) : 86 - 92
  • [10] Influence of Geogrid Reinforcement on the Drying Shrinkage of High-Strength Concrete Pavements
    Al-Hedad, Abbas S. A.
    Zhang, Mengying
    Hadi, Muhammad N. S.
    JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 2020, 146 (03)