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Modified imperialist competitive algorithm-based neural network to determine shear strength of concrete beams reinforced with FRP

基于改进的帝国主义竞争算法的神经网络FRP 加固混凝土梁的抗剪强度

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Abstract

Fiber reinforced polymers (FRPs), unlike steel, are corrosion-resistant and therefore are of interest; however, their use is hindered because their brittle shear is formulated in most specifications using limited data available at the time. We aimed to predict the shear strength of concrete beams reinforced with FRP bars and without stirrups by compiling a relatively large database of 198 previously published test results (available in appendix). To model shear strength, an artificial neural network was trained by an ensemble of Levenberg-Marquardt and imperialist competitive algorithms. The results suggested superior accuracy of model compared to equations available in specifications and literature.

摘要

纤维增强聚合物(FRPS)与钢不同, 是耐腐蚀的, 因此引起人们的兴趣; 然而, 它们的使用受到 限制, 因为它们的脆性剪切在大多数规范中可使用的数据有限. 我们的目的是通过编制一个比较大的 数据库来预测FRP 筋和无箍加固混凝土梁的抗剪强度, 该数据库包含198 份以前公布的试验结果(见 附录). 为了建立抗剪强度模型, 利用Levenberg-Marquardt 和帝国主义竞争算法的集合训练了一个人 工神经网络. 结果表明, 与规范和文献中的方程相比, 模型具有更高的精度.

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Authors and Affiliations

  1. Department of Earthquake Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Amir Hasanzade-Inallu

  2. Department of Structural Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Panam Zarfam

  3. Young Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

    Mehdi Nikoo

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  1. Amir Hasanzade-Inallu
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Hasanzade-Inallu, A., Zarfam, P. & Nikoo, M. Modified imperialist competitive algorithm-based neural network to determine shear strength of concrete beams reinforced with FRP. J. Cent. South Univ. 26, 3156–3174 (2019). https://doi.org/10.1007/s11771-019-4243-z

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