| 基于神经网络的蜂窝钢梁的承载力研究 |
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| 摘 要： | 对腹板易发生后屈曲的简支蜂窝钢梁的承载力进行研究,讨论分析梁承载力和失效模型的非线性有限元法的准确性。由于非线性有限元计算量很大,故基于有限元进行参数研究,提出蜂窝钢梁腹板的后屈曲临界荷载的经验公式。另采用传统的反向传播神经网路和自适应神经模糊推理系统方法进行求解,并对比传统有限元分析结果,验证经验公式、反向传播神经网络法、自适应神经模糊推理系统法的准确性。结果表明:反向传播神经网络法和自适应神经模糊推理系统法比经验方程更准确。
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| 关 键 词： | 蜂窝钢梁 腹板后屈曲 神经网络 反向传播 自适应神经模糊推理系统 |
Assessment of Load Carrying Capacity of Castellated Steel Beams by Neural Networks |
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| Abstract: | In this paper,load carrying capacity of simply supported castellated steel beams,susceptible to web-post buckling,is studied.The accuracy of the nonlinear finite element(FE) method to evaluate the load carrying capacity and failure mode of the beams is discussed.In view of the high computational burden of the nonlinear finite element analysis,a parametric study is achieved based on FE and an empirical equation is proposed to estimate the web-posts' buckling critical load of the castellated steel beams.Also ... |
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| Keywords: | Castellated steel beams Web-post buckling Neural network Back-propagation Adaptive neuro-fuzzy inference system |
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