Simplified Hysteretic Model for Magneto-rheological Damper with Parameter Sensitivity Analysis

doi:10.7652/xjtuxb201307019

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Simplified Hysteretic Model for Magneto-rheological Damper with Parameter Sensitivity Analysis

更新时间：2025-07-09

- Simplified Hysteretic Model for Magneto-rheological Damper with Parameter Sensitivity Analysis
- Vol. 47, Issue 7, Pages: 102-107(2013)
- 作者机构：
  
  西安交通大学土木工程系,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201307019
  CLC： TU352.1
- Online First：10 July 2013，
  
  Published：2013
- 稿件说明：
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Simplified Hysteretic Model for Magneto-rheological Damper with Parameter Sensitivity Analysis[J]. 2013, 47(7): 102-107.
DOI：

Simplified Hysteretic Model for Magneto-rheological Damper with Parameter Sensitivity Analysis[J]. 2013, 47(7): 102-107. DOI： 10.7652/xjtuxb201307019.

摘要

为解决Bouc-Wen模型参数多、数学表达式复杂、参数识别困难的问题

根据Bouc-Wen模型中参数的物理意义及其对结果输出贡献的大小进行了参数敏感性分析

滤除敏感性差的参数

令敏感性强的参数参与拟合滞回曲线

从而获得了简化的Bouc-Wen模型。在参数敏感性分析中

提出并采用了修正的one-at-a-time(OAAT)法。修正OAAT法是在OAAT法的基础上

令待测参数之外的其他参数自由变化

充分考虑了参数之间的耦合关系

具有全局敏感性分析的意义

可使结果更为准确和全面。为了验证Bouc-Wen简化模型的有效性

采用遗传算法对Bouc-Wen模型和Bouc-Wen简化模型的参数进行了识别

并对磁流变阻尼器力学特性试验数据进行了数值模拟

结果表明:Bouc-Wen简化模型能够更精确、更高效地模拟滞回曲线

拟合精度平均提高了4%

计算效率平均提高了47%。

Abstract

Too many parameters in the Bouc-Wen model impede its further application due to the capability limitation of computer and algorithm available currently. Thus a simplified Bouc-Wen model is suggested

which is derived from sensitivity analysis according to the physical significance of comprehending parameters and their contributions to the model output. A modified one-at-a-time method(OAAT)is adopted in the sensitivity analysis

where the rest parameters are set free except the test parameter

and the interactions among the model parameters are sufficiently considered. Test data of magneto-rheological damper responses are utilized to verify that the proposed simplified Bouc-Wen model with genetic algorithm is capable to simulate the hysteretic curves accurately. Compared with the original model

the proposed model improves the fitting precision for the hysteresis curve and the computational efficiency by 4% and 47%

respectively.

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references

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