Prediction of ultimate load capacities of CFST columns with debonding by EPR

被引:14
|
作者
Xue, Jun-Qing [1 ]
Fiore, Alessandra [2 ]
Liu, Zi-Hao [1 ]
Briseghella, Bruno [1 ]
Marano, Giuseppe Carlo [1 ,3 ]
机构
[1] Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Peoples R China
[2] Politecn Bari, DICAR, Via Orabona 4, I-70125 Bari, Italy
[3] Politecn Torino, Dept Struct Bldg & Geotech Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy
基金
中国国家自然科学基金;
关键词
Concrete filled steel tube; Debonding; Ultimate load capacity; Reduction coefficient; Evolutionary polynomial regression; Accuracy analysis; CONCRETE; BEHAVIOR; STRENGTH; DESIGN; MODELS;
D O I
10.1016/j.tws.2021.107912
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Concrete filled steel tubular (CFST) structures have become a viable alternative to reinforced concrete or steel structures due to several advantages. One of the most important is the confinement effect of the concrete core provided by the steel tube. However, this beneficial composite action will be probably weakened by debonding, so reliable formulations to predict the reduced ultimate resistance are needed. In this paper, a review of existing specifications and experimental tests carried out on compressed circular CFST columns with and without debonding, is given. Accordingly, more circular CFST long specimens with debonding should be necessary to understand the combined influence of slenderness ratio, load eccentricity ratio and confinement factor on the reduction coefficient (KD) of ultimate load capacities (Nu). The combined influence of arc-length ratio and thickness of circumferential debonding gap on KD should be further studied by experimental tests. Moreover, the existing formulae for KD and Nu show a low accuracy in predicting the test results and should be improved. To this aim, an evolutionary polynomial regression (EPR) MOGA-based methodology was performed to obtain more accurate formulations for Nu and KD of circular CFST columns with debonding. The formulae extracted from the Pareto front of non-dominated solutions, demonstrate good accuracy, higher than the ones in literature. The proposed models are consistent with the physical interpretation of the studied phenomenon according to which Nu and KD decrease as debonding parameters increase and can be used to calculate the real resistance of CFST structures.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method
    Tien-Thinh Le
    Hieu Chi Phan
    ADVANCES IN CIVIL ENGINEERING, 2020, 2020
  • [2] Ultimate capacity prediction of axially loaded CFST short columns
    Guneyisi, Esra Mete
    Gultekin, Aysegul
    Mermerdas, Kasim
    INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2016, 16 (01) : 99 - 114
  • [3] Ultimate capacity prediction of axially loaded CFST short columns
    Esra Mete Güneyisi
    Ayşegül Gültekin
    Kasım Mermerdaş
    International Journal of Steel Structures, 2016, 16 : 99 - 114
  • [4] Prediction of the mechanical performance of compressed circular CFST columns with circumferential debonding gap
    Xue, Jun-Qing
    Huang, Jian-Ping
    Fiore, Alessandra
    Briseghella, Bruno
    Marano, Giuseppe C.
    JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2023, 208
  • [5] Effects of debonding on circular CFST stub columns
    Xue, Jun-Qing
    Briseghella, Bruno
    Chen, Bao-Chun
    JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2012, 69 (01) : 64 - 76
  • [6] Universal boosting ML approaches to predict the ultimate load capacity of CFST columns
    Nguyen, Thuy-Anh
    Le Nguyen, Khuong
    Ly, Hai-Bang
    STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS, 2024, 33 (02):
  • [7] Prediction of the Axial Bearing Compressive Capacities of CFST Columns Based on Machine Learning Methods
    Yu Lusong
    Zhang Yuxing
    Wang Li
    Pan Qiren
    Wen Yiyang
    International Journal of Steel Structures, 2024, 24 : 81 - 94
  • [8] Prediction of the Axial Bearing Compressive Capacities of CFST Columns Based on Machine Learning Methods
    Yu, Lusong
    Zhang, Yuxing
    Wang, Li
    Pan, Qiren
    Wen, Yiyang
    INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2024, 24 (01) : 81 - 94
  • [9] Numerical Method and Experimental Study on the Ultimate Load Carrying Capacity of Four Tube CFST Latticed Columns
    Jiang, Lizhong
    Zhou, Wangbao
    Qi, Jingjing
    ADVANCES IN STRUCTURES, PTS 1-5, 2011, 163-167 : 2224 - 2233
  • [10] Novel ensemble approach to predict the ultimate axial load of CFST columns with different cross-sections
    Nguyen, Thuy-Anh
    Trinh, Son Hoang
    Nguyen, May Huu
    Ly, Hai-Bang
    STRUCTURES, 2023, 47 : 1 - 14