Predicting ultra high-performance concrete self-healing performance using hybrid models based on metaheuristic optimization techniques

被引:21
|
作者
Xi, Bin [1 ]
Huang, Zhewen [1 ]
Al-Obaidi, Salam [1 ,2 ]
Ferrara, Liberato [1 ]
机构
[1] Politecn Milan, Dept Civil & Environm Engn, Piazza Leonardo da Vinci 32, Milan, Italy
[2] Univ Al Qadisiyah, Rd & Transportat Engn Dept, Diwaniyah 58001, Iraq
关键词
Ultra high performance concrete; Self; -healing; Machine learning; Extreme gradient boosting tree; Metaheuristic optimization; DURABILITY; SHRINKAGE; BACTERIA; UHPC;
D O I
10.1016/j.conbuildmat.2023.131261
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Ultra High-Performance Concrete (UHPC) has superior mechanical properties, including high compressive strength, tensile strain hardening behavior, and self-healing capacity. However, there has been limited focus on developing predictive models for UHPC's self-healing properties, despite extensive research in the aforesaid respect. While multi-physics modeling has made progress in predicting the coupled chemical, physical, and mechanical phenomena in cement-based materials, data-driven models, including Artificial Intelligence (AI) and Machine Learning (ML), are gaining popularity in predicting some concrete properties. In this study, a machine learning model was developed to predict UHPC's self-healing performance using three meta-heuristic algorithms, i.e., whales optimization algorithm (WOA), grey wolf optimization (GWO), and flower pollination algorithm (FPA), combined with extreme gradient boosting tree (Xgboost). The dataset used for the model was obtained from original experimental tests on UHPC's crack sealing performance under sustained through crack tensile stress and exposure to various aggressive environments for up to six months. The model's predictive performance was assessed using four mathematical indicators. The regression error characteristic (REC) and Taylor diagrams also showed the optimal models' performance were found to be consistent and reliable across different optimization algorithms. SHapley Additive exPlanation (SHAP) results revealed that exposure time and crack width were most critical features for predicting self-healing performance. The study demonstrated the potential of using machine learning for predicting UHPC's self-healing performance and provided insights into the most critical factors affecting the process.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Self-healing and frost resistance of ultra-high performance concrete
    Kan L.
    Qiao H.
    Wang F.
    Liu N.
    Wang J.
    Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica, 2023, 40 (04): : 2251 - 2260
  • [2] Review on Cracks Self-Healing of Ultra-High Performance Concrete
    Zheng Q.
    He B.
    Li C.
    Jiang Z.
    Jiang, Zhengwu (jzhw@tongji.edu.cn), 2021, Chinese Ceramic Society (49): : 2450 - 2461
  • [3] Effect of different environments on the self-healing performance of Ultra High-Performance Concrete-A systematic literature review
    Xi, Bin
    Al-Obaidi, Salam
    Ferrara, Liberato
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 374
  • [4] High-Performance Self-Healing Polymers
    Peng, Yan
    Gu, Shiyu
    Wu, Qi
    Xie, Zhengtian
    Wu, Jinrong
    ACCOUNTS OF MATERIALS RESEARCH, 2023, 4 (04): : 323 - 333
  • [5] Self-healing capability of conventional, high-performance, and Ultra High-Performance Concrete with commercial bacteria characterized by means of water and chloride penetration
    Doostkami, Hesam
    Cumberbatch, Javier de Jesus Estacio
    Formagini, Sidiclei
    Serna, Pedro
    Roig-Flores, Marta
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 401
  • [6] Effect of Fiber Content on the Self-healing Capability of Ultra High-Performance Fiber-Reinforced Concrete
    Doostkami, Hesam
    Formagini, Sidiclei
    Serna, Pedro
    Roig-Flores, Marta
    TRANSFORMING CONSTRUCTION: ADVANCES IN FIBER REINFORCED CONCRETE, BEFIB 2024, 2024, 54 : 352 - 359
  • [7] Self-healing efficiency of Ultra High-Performance Fiber-Reinforced Concrete through permeability to chlorides
    Doostkami, Hesam
    Roig-Flores, Marta
    Serna, Pedro
    CONSTRUCTION AND BUILDING MATERIALS, 2021, 310 (310)
  • [8] Self-healing performance of thermally damaged ultra-high performance concrete: Rehydration and recovery mechanism
    Zhao, Xudong
    Lu, Jian-Xin
    Tian, Weichen
    Cyr, Martin
    Tagnit-Hamou, Arezki
    Poon, Chi Sun
    CEMENT AND CONCRETE RESEARCH, 2025, 191
  • [9] Assessing self-healing in high-performance concrete with superabsorbent polymers by an innovative methodology
    Santos, K. F.
    Ribeiro, A. C. B. S.
    Silva, E. F.
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 447
  • [10] Strategies for Enhancing Self-Healing in Ultra-High Performance Concrete: An Experimental Investigation
    Khan, Muhammad Adeel
    Chen, Weizhen
    Zhang, Boshan
    Badar, Jahangir
    Rui, Zhao
    COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2, 2025, 173 : 814 - 824