Salt-Frost Damage and Life Prediction of Nano-SiO2 Polypropylene Fiber Aeolian Sand Concrete

被引:0
|
作者
Dong, Wei [1 ,2 ]
Su, Enze [1 ]
Yin, Yingzi [1 ]
机构
[1] Inner Mongolia Univ Sci & Technol, Coll Civil Engn, Baotou 014010, Peoples R China
[2] Inner Mongolia Autonomous Reg Key Lab Civil Engn S, Baotou 014010, Peoples R China
基金
中国国家自然科学基金;
关键词
MECHANICAL-PROPERTIES;
D O I
10.1007/s11837-024-07011-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, the effects of PPF (0%, 0.25%, 0.50%, 0.75% and 1.00%) and NS (0% and 2.4%) on the frost resistance of nano-silica polypropylene fiber aeolian sand concrete (NS-PPF-ASC) were studied by rapid salt freeze-thaw cycle (SFTC) test. Based on the stochastic distribution of Wiener and Weibull, a salt freeze-thaw damage model was developed with the relative dynamic elastic modulus (RDEM) and mass loss rate as degradation indexes to analyze the reliability and predict the service life of NS-PPF-ASC. The results showed that adding the appropriate PPF significantly reduced the damage caused by the SFTC. Based on Wiener and Weibull stochastic distributions, the salt freeze-thaw damage models established with RDEM and mass loss rate as degradation indexes effectively predicted the service life of concrete, and both indicated that specimens in S1-FD have the best frost resistance and mass loss rate as degradation index. The Wiener and Weibull stochastic distributions were close, and the Weibull stochastic distribution was more suitable for NS-PPF-ASC damage and deterioration during the SFTC. The research results could provide a theoretical basis for the research of frost resistance durability of concrete structures in the cold region of Northwest China.
引用
收藏
页码:911 / 923
页数:13
相关论文
共 50 条
  • [41] Preparation of Nano-SiO2/Carbon Fiber-Reinforced Concrete and Its Influence on the Performance of Oil Well Cement
    Li, Yanming
    Guo, Xiaoyang
    Yang, Junlan
    Li, Ming
    INTERNATIONAL JOURNAL OF POLYMER SCIENCE, 2019, 2019
  • [42] Workability of self-compacting geopolymer concrete: The effect of nano-SiO2 and steel-polyvinyl alcohol hybrid fiber
    Wang, Wenshuai
    Zhang, Peng
    Dai, Xiaobing
    Zheng, Yuanxun
    Hu, Shaowei
    CONSTRUCTION AND BUILDING MATERIALS, 2025, 460
  • [43] Investigation on mechanical properties of steel fiber reinforced reactive powder concrete containing nano-SiO2: An experimental and analytical study
    Keshavarzian, Farhad
    Saberian, Mohammad
    Li, Jie
    JOURNAL OF BUILDING ENGINEERING, 2021, 44
  • [44] Mechanical Properties of Nano-SiO2 Reinforced Geopolymer Concrete under the Coupling Effect of a Wet-Thermal and Chloride Salt Environment
    Jin, Qingqing
    Zhang, Peng
    Wu, Jingjiang
    Sha, Dehao
    POLYMERS, 2022, 14 (11)
  • [45] Mechanical properties and prediction of fracture parameters of geopolymer/alkali-activated mortar modified with PVA fiber and nano-SiO2
    Zhang, Peng
    Wang, Kexun
    Wang, Juan
    Guo, Jinjun
    Hu, Shaowei
    Ling, Yifeng
    CERAMICS INTERNATIONAL, 2020, 46 (12) : 20027 - 20037
  • [46] Effect of nano-SiO2 on fiber-matrix bond in ultra-high-performance concrete as partial substitution of silica flour
    Oh, Taekgeun
    Chun, Booki
    Jang, Yun Sik
    Yeon, Jung Heum
    Banthia, Nemkumar
    Yoo, Doo-Yeol
    CEMENT & CONCRETE COMPOSITES, 2023, 138
  • [47] The impact resistance and mechanical properties of fiber reinforced self-compacting concrete (SCC) containing nano-SiO2 and silica fume
    Mastali, M.
    Dalvand, A.
    EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING, 2018, 22 (01) : 1 - 27
  • [48] Substitutive effect of nano-SiO2 for silica fume in ultra-high-performance concrete on fiber pull-out behavior
    Oh, Taekgeun
    Chun, Booki
    Lee, Seung Kyun
    Lee, Wonkyo
    Banthia, Nemkumar
    Yoo, Doo-Yeol
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2022, 20 : 1993 - 2007
  • [49] RETRACTED: Nano-SiO2 and PVA Fiber Synergistically Strengthened Concrete to Optimize the Antifreeze, Antipermeability, and Anticorrosion Performance of Roads (Retracted Article)
    Tang, Li
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2022, 2022
  • [50] Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO2 Using BP Neural Network
    Liu, Ting-Yu
    Zhang, Peng
    Wang, Juan
    Ling, Yi-Feng
    MATERIALS, 2020, 13 (03)