Hybrid modeling for wire cable isolation system based on neural network

被引：0

作者：

Key Laboratory for Strength and Vibration, Xi'an Jiaotong University, Xi'an 710049, China ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Key Laboratory for Strength and Vibration, Xi'an Jiaotong University

[2] College of Mechatronic Engineering, North University of China

[3] Institute of Structure Mechanics, China Academy of Engineering Physics

来源：

Jixie Gongcheng Xuebao | 2008年 / 7卷 / 168-175期

关键词：

Hybrid modeling; Hysteretic restoring force; Neural network; Wire cable isolator;

D O I：

10.3901/JME.2008.07.168

中图分类号：

学科分类号：

摘要：

A hybrid modeling method based on neural network (NN) is developed and used to model the hysteretic restoring force of wire cable isolation system for a certain electronic equipment. Firstly, a framework model for the nonlinear hysteretic restoring force is identified by using the experimental data from period loading. Secondly, the remained characteristic of hysteretic restoring, which cannot be parametrically modeled in an easy way, is identified by using NN method through network training. Thus, a hybrid model for the nonlinear hysteretic restoring force can be obtained. The model is then used to predict the dynamic responses of isolation system under harmonic and broad-band random excitations, respectively. The comparative study is also carried out to validate the effectiveness and prediction accuracy of the model. The results show good prediction accuracy with the developed hybrid model.

引用

页码：168 / 175

页数：7

共 9 条

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