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桥梁非线性自激气动力参数解析识别

熊龙 廖海黎 王骑 马存明

熊龙, 廖海黎, 王骑, 马存明. 桥梁非线性自激气动力参数解析识别[J]. 西南交通大学学报, 2016, 29(5): 824-831. doi: 10.3969/j.issn.0258-2724.2016.05.002
引用本文: 熊龙, 廖海黎, 王骑, 马存明. 桥梁非线性自激气动力参数解析识别[J]. 西南交通大学学报, 2016, 29(5): 824-831. doi: 10.3969/j.issn.0258-2724.2016.05.002
XIONG Long, LIAO Haili, WANG Qi, MA Cunming. Analytic Identification of Bridge Nonlinear Motion-Induced Aerodynamic Parameter[J]. Journal of Southwest Jiaotong University, 2016, 29(5): 824-831. doi: 10.3969/j.issn.0258-2724.2016.05.002
Citation: XIONG Long, LIAO Haili, WANG Qi, MA Cunming. Analytic Identification of Bridge Nonlinear Motion-Induced Aerodynamic Parameter[J]. Journal of Southwest Jiaotong University, 2016, 29(5): 824-831. doi: 10.3969/j.issn.0258-2724.2016.05.002

桥梁非线性自激气动力参数解析识别

doi: 10.3969/j.issn.0258-2724.2016.05.002
基金项目: 

国家重点基础研究发展计划资助项目(2013CB036300)

国家自然科学基金资助项目(51308478,51378442)

详细信息
    作者简介:

    熊龙(1983-),男,博士研究生,研究方向为大跨度桥梁抗风,E-mail:xionglong210@126.com

Analytic Identification of Bridge Nonlinear Motion-Induced Aerodynamic Parameter

  • 摘要: 随着自激气动力的非线性部分在桥梁风致振动中地位的显现,非线性自激气动力参数的合理确定显得至关重要。结合非线性自激气动力的解析表达式,基于分状态强迫振动风洞试验,提出了一种特征系统实现算法和非线性最小二乘法相结合的非线性自激气动力参数的解析识别方法。理想平板数值仿真结果表明:在无噪声情况下,识别结果与理论值完全一致;在20%白噪声情况下,识别最大误差仅3.7%,表现出较强的抗噪声能力。非线性气动力仿真结果表明:解析法能够精确确定非线性自激气动力谐波阶数,在20%白噪声情况下,各谐波幅值及相位的识别最大误差仅3.2%。将解析法运用于实际风洞试验,进一步论证了该方法的可行性和有效性。

     

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出版历程
  • 收稿日期:  2015-07-29
  • 刊出日期:  2016-10-25

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