Enhancing the predictive accuracy of recycled aggregate concrete’s strength using machine learning and statistical approaches: a review

被引:0
|
作者
Jawad Tariq [1 ]
Kui Hu [1 ]
Syed Tafheem Abbas Gillani [1 ]
Hengyu Chang [2 ]
Muhammad Waqas Ashraf [3 ]
Adnan Khan [4 ]
机构
[1] Henan University of Technology,School of Civil Engineering
[2] Tianjin Normal University,School of Software Engineering
[3] Southeast University,School of Civil Engineering
[4] Southeast University,School of Transportation
关键词
Recycled aggregate concrete; Machine learning techniques; Engineering properties; Artificial neural networks; Sustainable concrete;
D O I
10.1007/s42107-024-01192-9
中图分类号
学科分类号
摘要
引用
收藏
页码:21 / 46
页数:25
相关论文
共 50 条
  • [1] Predicting the Splitting Tensile Strength of Recycled Aggregate Concrete Using Individual and Ensemble Machine Learning Approaches
    Zhu, Yongzhong
    Ahmad, Ayaz
    Ahmad, Waqas
    Vatin, Nikolai Ivanovich
    Mohamed, Abdeliazim Mustafa
    Fathi, Dina
    CRYSTALS, 2022, 12 (05)
  • [2] Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning
    Golafshani, Emad
    Khodadadi, Nima
    Ngo, Tuan
    Nanni, Antonio
    Behnood, Ali
    ADVANCES IN ENGINEERING SOFTWARE, 2024, 191
  • [3] Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches
    Javed, Muhammad Faisal
    Fawad, Muhammad
    Lodhi, Rida
    Najeh, Taoufik
    Gamil, Yaser
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [4] Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete
    Yuan, Xiongzhou
    Tian, Yuze
    Ahmad, Waqas
    Ahmad, Ayaz
    Usanova, Kseniia Iurevna
    Mohamed, Abdeliazim Mustafa
    Khallaf, Rana
    MATERIALS, 2022, 15 (08)
  • [5] Prediction of strength properties of concrete under the influence of recycled aggregate using machine learning models
    R. Ashwathi
    R. S. Soundariya
    R. M. Tharsanee
    S Yuvaraj
    R. Ramya
    Interactions, 245 (1)
  • [6] Prediction of properties of recycled aggregate concrete using machine learning models: A critical review
    Zhao, Zengfeng
    Liu, Yajie
    Lu, Yanyun
    Ji, Chenyuan
    Lin, Can
    Yao, Lei
    Pu, Ziying
    de Brito, Jorge
    JOURNAL OF BUILDING ENGINEERING, 2024, 90
  • [7] Prediction of compressive strength of recycled aggregate concrete using machine learning and Bayesian optimization methods
    Zhang, Xinyi
    Dai, Chengyuan
    Li, Weiyu
    Chen, Yang
    FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [8] On statistical characteristics of the compressive strength of recycled aggregate concrete
    Xiao, J.
    Li, J.
    Zhang, Ch.
    Structural Concrete, 2005, 6 (04) : 149 - 153
  • [9] Compressive strength of concrete with recycled aggregate; a machine learning-based evaluation
    Dabiri, Hamed
    Kioumarsi, Mahdi
    Kheyroddin, Ali
    Kandiri, Amirreza
    Sartipi, Farid
    CLEANER MATERIALS, 2022, 3
  • [10] Predictive Modeling of Recycled Aggregate Concrete Beam Shear Strength Using Explainable Ensemble Learning Methods
    Cakiroglu, Celal
    Bekdas, Gebrail
    SUSTAINABILITY, 2023, 15 (06)