Identification of Flexural Rigidity and Tension of Short Hangers with Adding Mass and Neural Network

机译：添加质量和神经网络识别短衣架的弯曲刚度和张力

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The effect of flexural rigidity on natural frequency is great for short hangers. Hence, the flexural rigidity of hangers should also be identified besides the basic frequency in determination of hanger tension.Utilizing the significant effect of mass on natural frequency, the additional mass method (AMM) is proposed, with mass as an additional condition in the identification of hanger tension. According to the measured frequencies of hangers before and after the attachment of the mass., the flexural rigidity and tension of hangers can be estimated using Artificial Neural Network(ANN), which further solves the inverse calculation problem based on the nonlinear relationship among frequency, tension and stiffness. A group of short hangers with lengths in the range of 2-10 m are studied as the cases. Results show that the AMM is proved to be feasible in tension and flexural rigidity identification, and the ANN also gets validated in nonlinear inverse calculation.

机译：挠性刚度对固有频率的影响对于短吊架非常重要。因此，除了确定吊架张力的基本频率外，还应确定吊架的抗弯刚度。利用质量对固有频率的显着影响，提出了附加质量法（AMM），将质量作为附加条件。衣架的张力。根据质量附着前后衣架的实测频率，可使用人工神经网络（ANN）估算衣架的抗弯刚度和张力，从而进一步解决了基于频率之间非线性关系的逆计算问题，张力和刚度。研究了一组长度在2-10 m范围内的短衣架。结果表明，AMM在张力和抗弯刚度识别中是可行的，并且在非线性逆计算中也得到了验证。

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《International Conference on Natural Computation;ICNC '09》|2009年|372-376|共5页
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Xu Xie; Liangfeng Sun; Haiyan Huang; Jilong Li;
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neural network; short hanger; tension; vibration method;

机译：神经网络短衣架张力振动方法;

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Identification of Flexural Rigidity and Tension of Short Hangers with Adding Mass and Neural Network

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