Axial capacity of GFRP-concrete-steel composite columns and prediction based on artificial neural network

被引：8
作者：
Gao, Tian [1 ]
Zhao, Zhongwei [1 ]
Gao, Hui [1 ]
Zhou, Song [1 ]
机构：
[1] Liaoning Tech Univ, Sch Civil Engn, Fuxin 123000, Peoples R China
来源：
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES | 2024年 / 31卷 / 26期
关键词：
Glass fiber-reinforced plastic; axial capacity; artificial neural network; Garson algorithm; TUBULAR COLUMNS; BEHAVIOR;
D O I：
10.1080/15376494.2023.2249457
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
GFRP-concrete-steel composite columns (GCS) are formed by combining different components with excellent mechanical properties. The GCS exhibits good corrosion resistance and can serve as a pile foundation platform for offshore wind turbines. An Artificial Neural Network (ANN) is utilized to swiftly predict the loading capacity of GCS columns with various geometrical parameters. The prediction error is primarily controlled within 10%. The thickness of GFRP tubes (t(G)), the inner diameter of GFRP tubes (D-G,D-i), the thickness of steel tubes (t(s)), the outer diameter of steel tubes (D-S,D-o), the strength of GFRP tubes (f(G)), the strength of concrete (f(C)), and the strength of steel tubes (f(S)) were used as independent variables to determine the key factors affecting the loading capacity of GCS columns. The impact of the number of input variables on the final prediction accuracy is analyzed. The proportional influence of different parameters on the loading capacity of GCS column is investigated using the Garson algorithm, among which, the thickness of the GFRP tube (t(G)) accounts for the largest proportion, approximately 24.57%. The suitability of the artificial neural network for predicting the loading capacity of GCS columns with various geometries is revealed. The results indicate that the ANN can be utilized for high-precision compressive strength prediction, and the thickness of the GFRP tube (t(G)) is the most influential factor on the loading capacity of GCS columns.
引用
收藏
页码：7714 / 7729
页数：16
相关论文
共 39 条
  • [1] Arash K., Mahmoud E., Retrofitting of the corroded reinforced concrete columns with CFRP and GFRP fabrics under different corrosion levels, Eng. Struct, 228, (2021)
  • [2] Benzaid R., Chikh N.E., Mesbah H., Behaviour of square concrete column confined with GFRP composite warp, J. Civ. Eng. Manage, 14, 2, pp. 115-120, (2008)
  • [3] Kumutha R., Vaidyanathan R., Palanichamy M.S., Behaviour of reinforced concrete rectangular columns strengthened using GFRP, Cem. Concr. Compos, 29, 8, pp. 609-615, (2007)
  • [4] Ali M.A., El-Salakawy E., Seismic performance of GFRP-reinforced concrete rectangular columns, J. Compos. Constr, 20, 3, (2016)
  • [5] Dong Z.Q., Wu G., Zhao X.L., Zhu H., Wei Y., Yan Z.Y., Mechanical properties of discrete BFRP needles reinforced seawater sea-sand concrete-filled GFRP tubular stub columns, Constr. Build. Mater, 244, (2020)
  • [6] Teng J.G., Yu T., Wong Y.L., Dong S.L., Hybrid FRP–concrete–steel tubular columns: concept and behavior, Constr. Build. Mater, 21, 4, pp. 846-854, (2007)
  • [7] Zhao Z.W., Zheng C.Y., Zhang J.N., Liang B., Zhang H.W., Influence of random pitting corrosion on moment capacity of thin-walled circular tubes subjected to compression force, Int. J. Press. Vessels Pip, 189, (2021)
  • [8] Yuan Y., Zhang N., Liu H.Q., Zhao Z.W., Fan X.T., Zhang H.W., Influence of random pit corrosion on axial stiffness of thin-walled circular tubes, Structures, 28, pp. 2596-2604, (2020)
  • [9] Han L.H., Xu C.Y., Tao Z., Performance of concrete-filled stainless steel tubular (CFSST) columns and joints: summary of recent research, J. Constr. Steel Res, 152, pp. 117-131, (2019)
  • [10] An Y.F., Han L.H., Zhao X.L., Behaviour and design calculations on very slender thin-walled CFST columns, Thin. Walled Struct, 53, pp. 161-175, (2012)
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