Predicting relative compressive strength of concrete containing superabsorbent polymers

被引:8
|
作者
Zhao, Shengying [1 ,2 ,3 ]
Guan, Xinchun [1 ,2 ,3 ]
Qiao, Guofu [1 ,2 ,3 ]
Lyu, Jingjing [1 ,2 ,3 ]
机构
[1] Minist Educ, Harbin Inst Technol, Key Lab Struct Dynam Behav & Control, Harbin, Peoples R China
[2] Harbin Inst Technol, Minist Ind & Informat Technol, Key Lab Smart Prevent & Mitigat Civil Engn Disaste, Harbin, Peoples R China
[3] Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Superabsorbent polymer; Compressive strength; Concrete; Gel-space ratio; Internal curing; AUTOGENOUS SHRINKAGE; PERFORMANCE; PARAMETERS;
D O I
10.1016/j.cemconcomp.2022.104689
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Superabsorbent polymer (SAP) can affect the strength of concrete both positively and negatively, but the overall direction and degree remain controversial. By coupling the influence of paste strength and SAP void content, this paper presents a model to calculate the long-term compressive strength of a SAP-modified concrete relative to another one without SAP but with the same water-to-binder ratio (w/b) and the same paste content. Results indicate that in a cement concrete, there exists a critical w/b, above which any amount of internal curing water reduces strength. The critical w/b depends on paste content. At a certain paste content, the largest possible degree of enhancement is greater, when w/b is lower. The model is validated by experimental results, both original and from the literature, and is applicable to concretes whether or not supplementary materials are used.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Shrinkage and Compressive Strength of Concrete with Superabsorbent Polymers
    李学英
    [J]. Journal of Wuhan University of Technology(Materials Science Edition)., 2009, 24(S1) (Materials Science Edition) - 173
  • [2] Shrinkage and Compressive Strength of Concrete with Superabsorbent Polymers
    李学英
    [J]. Journal of Wuhan University of Technology(Materials Science), 2009, (S1) : 171 - 173
  • [3] An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP)
    Hosseinzadeh, Maedeh
    Mousavi, Seyed Sina
    Dehestani, Mehdi
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [4] Effect of Internal Curing with Superabsorbent Polymers on the Compressive Strength and Shrinkage of Concrete with Natural Volcanic Ash
    Xia, Jingliang
    Ren, Longfang
    Ren, Qiang
    Zhang, Rui
    Gao, Chao
    Jiang, Zhengwu
    [J]. JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2024, 36 (06)
  • [5] Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS
    Tran, Van Quan
    Mai, Hai-Van Thi
    Nguyen, Thuy-Anh
    Ly, Hai-Bang
    [J]. PLOS ONE, 2021, 16 (12):
  • [6] Impact of Superabsorbent Polymer on Shrinkage and Compressive Strength of Mortar and Concrete
    Arckarapunyathorn, Wissawin
    Markpiban, Pochpagee
    Sahamitmongkol, Raktipong
    [J]. SUSTAINABILITY, 2024, 16 (05)
  • [7] Predicting of the compressive strength of RCA concrete
    Jaskulski, Roman
    Kubissa, Wojciech
    Kotes, Peter
    Brodnan, Miroslav
    [J]. RSP 2017 - XXVI R-S-P SEMINAR 2017 THEORETICAL FOUNDATION OF CIVIL ENGINEERING, 2017, 117
  • [8] Machine learning models for predicting the compressive strength of concrete containing nano silica
    Garg, Aman
    Aggarwal, Paratibha
    Aggarwal, Yogesh
    Belarbi, M. O.
    Chalak, H. D.
    Tounsi, Abdelouahed
    Gulia, Reeta
    [J]. COMPUTERS AND CONCRETE, 2022, 30 (01): : 33 - 42
  • [9] Predicting the compressive strength of concrete containing metakaolin with different properties using ANN
    Moradi, M. J.
    Khaleghi, M.
    Salimi, J.
    Farhangi, V
    Ramezanianpour, A. M.
    [J]. MEASUREMENT, 2021, 183
  • [10] Effect of Superabsorbent Polymer (SAP) Size on Microstructure and Compressive Strength of Concrete
    Niu, Xiaobo
    Zhang, Yile
    Elakneswaran, Yogarajah
    Sasaki, Miyu
    Takayama, Takeshi
    Kawai, Hajime
    [J]. POLYMERS, 2024, 16 (02)