Study on Expansion Rate of Steel Slag Cement-Stabilized Macadam Based on BP Neural Network

被引:4
|
作者
Wu, Hengyu [1 ]
Xu, Feng [1 ]
Li, Bingyang [1 ]
Gao, Qiju [1 ]
机构
[1] Suzhou Univ Sci & Technol, Sch Civil Engn, Suzhou 215009, Peoples R China
基金
中国国家自然科学基金;
关键词
steel slag; cement-stabilized macadam; road base; neural network; expansion rate;
D O I
10.3390/ma17143558
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The physicochemical properties of steel slag were investigated using SEM and IR, and it was found that free calcium oxide and free magnesium oxide in steel slag produce calcium hydroxide when in contact with water, leading to volume expansion. Thus, the expansion rate of steel slag itself was first investigated, and it was found that the volume expansion of steel slag was more obvious in seven days after water immersion. Then, the cement dosages of 5% and 6% of the steel slag expansion rate and cement-stabilized gravel volume changes between the intrinsic link were further explored after the study found that the cement bonding effect can be partially inhibited due to the volume of expansion caused by the steel slag, so it can be seen that increasing the dosage of cement can reduce the volume expansion of steel slag cement-stabilized gravel with the same dosage of steel slag. Finally, a prediction model of the expansion rate of steel slag cement-stabilized gravel based on the BP (back propagation) neural network was established, which was verified to be a reliable basis for predicting the expansion rate of steel slag cement-stabilized aggregates and improving the accuracy of the proportioning design.
引用
收藏
页数:16
相关论文
共 50 条
  • [11] Maximizing the utilization of construction waste in cement-stabilized macadam based on mechanics and durability performance
    Yi, Yong
    Jiang, Yingjun
    Lou, Ouyang
    Zhang, Yu
    Tian, Tian
    Fan, Jiangtao
    Chen, Yun
    CONSTRUCTION AND BUILDING MATERIALS, 2025, 473
  • [12] Meso-cracking behavior of cement-stabilized macadam materials based on heterogeneous model
    Zhao X.-K.
    Hu Z.
    Niu Z.-X.
    Zhang J.-P.
    Pei J.-Z.
    Wen Y.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2024, 54 (05): : 1258 - 1266
  • [13] Strength characterization of steel slag–cement-stabilized marine clay mixes for highway construction
    Aditya D. Ahirwar
    Hemant S. Chore
    Innovative Infrastructure Solutions, 2022, 7
  • [14] Effectiveness of Reusing Steel Slag Powder and Polypropylene Fiber on the Enhanced Mechanical Characteristics of Cement-Stabilized Sand
    Ghanbari, M.
    Bayat, M.
    CIVIL ENGINEERING INFRASTRUCTURES JOURNAL-CEIJ, 2022, 55 (02): : 241 - 257
  • [15] Study on novel steel slag foam concrete pore structure and bp neural network prediction model
    Zhi, Zeng
    Li, Xiaohua
    Fan, Huang
    Zhan, Wangxing
    Su, Huan
    Li, Wenjing
    Liu, Xianglong
    ENGINEERING RESEARCH EXPRESS, 2023, 5 (01):
  • [16] Exploring the Mechanical Properties, Shrinkage and Compensation Mechanism of Cement Stabilized Macadam-Steel Slag from Multiple Perspectives
    Zhang W.
    Zheng M.
    Li Y.
    Zheng W.
    Journal of Renewable Materials, 2023, 11 (05) : 2513 - 2529
  • [17] Cement-stabilized large-sized steel slag base course based on vibration compaction method: Mechanical properties, shrinkage properties, and numerical simulation
    Li, Haibin
    Sun, Jianmei
    Cui, Canyang
    Zhao, Qiongyang
    Hu, Yihong
    Shen, Rongjian
    Guan, Muhong
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 404
  • [18] Study on mathematical model of hydration expansion of steel slag-cement composite cementitious material
    Weng, Yinan
    Liu, Yanchao
    Liu, Jiaxiang
    ENVIRONMENTAL TECHNOLOGY, 2021, 42 (18) : 2776 - 2783
  • [19] Classification of High Quality Carbon Steel Based on BP Neural Network
    Liu, Lanlan
    Zhang, Taohong
    Xie, Yonghong
    Li, Li
    Zhang, Dezheng
    Wulamu, Aziguli
    EIGHTH CHINA NATIONAL CONFERENCE ON FUNCTIONAL MATERIALS AND APPLICATIONS, 2014, 873 : 54 - 59
  • [20] Study on Wood Detection Based on BP Neural Network
    Qi, Dawei
    Zhang, Peng
    2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, 2009, : 3124 - 3129